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			@String { accc = {Proc.\ Amer.\ Contr.\ Conf.} }
			@String { aiche = {AIChE J.} }le
			@String { auto = {Automatica} }
			@String { automat = {Automatisierungstechnik} }
			@String { autoprax = {Automatisierungstechnische Praxis} }
			@String { cce = {Comp.\ \& Chem.\ Eng.} }
			@String { cdc = {IEEE Conf.\ Decision Contr.} }
			@String { cdc22 = {Proc.\ 22nd IEEE Conf. Decision Contr.} }
			@String { cdc23 = {Proc.\ 23rd IEEE Conf. Decision Contr.} }
			@String { cdc24 = {Proc.\ 24th IEEE Conf. Decision Contr.} }
			@String { cdc25 = {Proc.\ 25th IEEE Conf. Decision Contr.} }
			@String { cdc26 = {Proc.\ 26th IEEE Conf. Decision Contr.} }
			@String { cdc27 = {Proc.\ 27th IEEE Conf. Decision Contr.} }
			@String { cdc28 = {Proc.\ 28th IEEE Conf. Decision Contr.} }
			@String { cdc29 = {Proc.\ 29th IEEE Conf. Decision Contr.} }
			@String { cdc30 = {Proc.\ 30th IEEE Conf. Decision Contr.} }
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			@String { cdc33 = {Proc.\ 33rd IEEE Conf. Decision Contr.} }
			@String { cdc34 = {Proc.\ 34th IEEE Conf. Decision Contr.} }
			@String { cdc35 = {Proc.\ 35th IEEE Conf. Decision Contr.} }
			@String { cdc42 = {Proc.\ 42th IEEE Conf. Decision Contr.} }
			@String { cec = {Chem.\ Eng.\ Commun.} }
			@String { ces = {Chem.\ Eng.\ Sci.} }
			@String { circuit = {IEEE Transactions on Circuits and Systems} }
			@String { ctaat = {CONTROL-THEORY AND ADVANCED TECHNOLOGY} }
			@String { ecc91 = {Proc.\ 1st European {Control} {Conference} ECC'91} }
			@String { ecc93 = {Proc.\ 2nd European {Control} {Conference} ECC'93} }
			@String { ecc95 = {Proc.\ 3rd European {Control} {Conference} ECC'95} }
			@String { ecc97 = {Proc.\ 4rd European {Control} {Conference} ECC'97} }
			@String { ejc = {Europ.\ J.\ Contr.} }
			@String { ieee = {IEEE Trans.\ Automat.\ Contr.} }
			@String { ieepartd = {IEE Proceedings, Part D} }
			@String { int = {Int.\ J.\ Contr.} }
			@String { jmsec = {Journal of Mathematical Systems, Estimation, and Control} }
			@String { jota = {J.\ Opt.\ Theory \ and Appl.} }
			@String { jpc = {J.\ Proc.\ Contr.} }
			@String { lett = {Syst.\ Contr.\ Lett.} }
			@String { linappl = {Lin. Alg. Apps.} }
			@String { magazin = {IEEE Contr.\ Syst.\ Magazine} }
			@String { mcss = {Mathematics of Control, Signals, and Systems} }
			@String { rnc = {Int.\ J.\ of Robust and Nonlinear Control} }
			@String { rt = {Regelungstechnik} }
			@String { siam = {SIAM J.\ Contr.\ Optim.} }
			@String { siam_o = {SIAM J.\ Contr.} }
			@String { siopt = {SIAM J.\ Optim.} }
			@String { zamm = {Z.\ angew.\ Math.\ Mech.} }

			@techreport{el2017general,
			title={General Proximal Gradient Method: A Case for Non-Euclidean Norms},
			author={El Halabi, Marwa and Hsieh, Ya-Ping and Vu, Bang and Nguyen, Quang and Cevher, Volkan},
			year={2017}
			}

			@inproceedings{kelner2014almost,
			title={An almost-linear-time algorithm for approximate max flow in undirected graphs, and its multicommodity generalizations},
			author={Kelner, Jonathan A and Lee, Yin Tat and Orecchia, Lorenzo and Sidford, Aaron},
			booktitle={Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete algorithms},
			pages={217--226},
			year={2014},
			organization={SIAM}
			}

			@conference{hassani2017gradient,
			title={Gradient Methods for Submodular Maximization},
			author={Hassani, Hamed and Soltanolkotabi, Mahdi and Karbasi, Amin},
			booktitle={Conference on Neural Information Processing Systems (NIPS)},
			note={Available at \url{https://arxiv.org/abs/1708.03949}},
			year={2017}
			}

			@article{attouch2010proximal,
			title={Proximal alternating minimization and projection methods for nonconvex problems: An approach based on the Kurdyka-Lojasiewicz inequality},
			author={Attouch, H{\'e}dy and Bolte, J{\'e}r{\^o}me and Redont, Patrick and Soubeyran, Antoine},
			journal={Mathematics of Operations Research},
			volume={35},
			number={2},
			pages={438--457},
			year={2010},
			publisher={INFORMS}
			}

			@InProceedings{Argyriou2008a,
			Title = {An Algorithm for Transfer Learning in a Heterogeneous Environment},
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			Booktitle = {Proc. Eur. Conf. Mach. Learn. and Know. Disc. in Databases},
			Year = {2008},
			Organization = {Springer},
			Pages = {71-85},

			Bibsource = {DBLP, http://dblp.uni-trier.de},
			Crossref = {DBLP:conf/pkdd/2008-1},
			Ee = {http://dx.doi.org/10.1007/978-3-540-87479-9_23},
			File = {:Statistical Learning/Multitask/pontil08transferlearning.pdf:PDF},
			Owner = {baldazen},
			Timestamp = {2009.01.28}
			}

			@InProceedings{Micchelli2004,
			Title = {Kernels for Multi-task Learning},
			Author = {Charles A. Micchelli and Massimiliano Pontil},
			Booktitle = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2004},

			Bibsource = {DBLP, http://dblp.uni-trier.de},
			Crossref = {DBLP:conf/nips/2004},
			Ee = {http://books.nips.cc/papers/files/nips17/NIPS2004_0809.pdf},
			File = {micchelli04kernels.pdf:Statistical Learning/Multitask/micchelli04kernels.pdf:PDF},
			Owner = {baldazen},
			Timestamp = {2008.02.29}
			}

			@InProceedings{Shivaswamy2008,
			Title = {Relative Margin Machines},
			Author = {Pannagadatta K. Shivaswamy and Tony Jebara},
			Booktitle = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2008},
			Editor = {Daphne Koller and Dale Schuurmans and Yoshua Bengio and Léon Bottou},
			Pages = {1481-1488},
			Publisher = {MIT Press},

			Biburl = {http://www.bibsonomy.org/bibtex/2934d5e4c34becb6ad9f400767e829d0d/dblp},
			Crossref = {conf/nips/2008},
			Date = {2009-04-15},
			Description = {dblp},
			Ee = {http://books.nips.cc/papers/files/nips21/NIPS2008_0839.pdf},
			File = {shivaswamy2008relative.pdf:Statistical Learning/EBB/shivaswamy2008relative.pdf:PDF},
			Interhash = {e3e871a996a7cf734a247efd838a9487},
			Intrahash = {934d5e4c34becb6ad9f400767e829d0d},
			Keywords = {dblp},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25},
			Url = {http://dblp.uni-trier.de/db/conf/nips/nips2008.html#ShivaswamyJ08}
			}

			@Article{dAspremont2008,
			Title = {Optimal Solutions for Sparse Principal Component Analysis},
			Author = {d'Aspremont, Alexandre and Bach, Francis and Ghaoui, Laurent El},
			Journal = {J. Mach. Learn. Res.},
			Year = {2008},
			Pages = {1269--1294},
			Volume = {9},

			Address = {Cambridge, MA, USA},
			File = {aspremont08OptSPCA.pdf:Statistical Learning\\SPARSITY\\aspremont08OptSPCA.pdf:PDF},
			ISSN = {1533-7928},
			Owner = {baldassarre},
			Publisher = {MIT Press},
			Timestamp = {2009.05.22}
			}

			@Article{Abbeloos2011,
			Title = {Nested multigrid methods for time-periodic, parabolic optimal control problems},
			Author = {Abbeloos, Dirk and Diehl, Moritz and Hinze, Michael and Vandewalle, Stefan},
			Journal = {Comp. Visualiz. in Sci.},
			Year = {2011},
			Note = {10.1007/s00791-011-0158-4},
			Pages = {27-38},
			Volume = {14},

			Affiliation = {Department of Computer science, K. U. Leuven, Celestijnenlaan 200, 3001 Heverlee, Belgium},
			File = {Abbeloos2011.pdf:Abbeloos2011.pdf:PDF},
			ISSN = {1432-9360},
			Issue = {1},
			Keyword = {Engineering},
			Owner = {quoctd},
			Publisher = {Springer Berlin / Heidelberg},
			Timestamp = {2013.08.23},
			Url = {http://dx.doi.org/10.1007/s00791-011-0158-4}
			}

			@Article{Abbott2007,
			Title = {Thinning Out Redundant Empirical Data},
			Author = {John Abbott and Claudia Fassino and Maria-Laura Torrente},
			Year = {2007},

			File = {Abbott07Thinning.pdf:Statistical Learning/Abbott07Thinning.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.02.21}
			}

			@InBook{Abdi2003,
			Title = {Encyclopedia for research methods for the social sciences},
			Author = {Herve' Abdi},
			Chapter = {Partial least squares regression (PLS-regression)},
			Editor = {Lewis-Beck, M. and Bryman, A. and Futing, F.},
			Pages = {792-795},
			Publisher = {Thousand Oaks (CA): Sage},
			Year = {2003},

			File = {abdi03pls.pdf:Statistical Learning/abdi03pls.pdf:PDF},
			Owner = {baldazen},
			Timestamp = {2008.06.18}
			}

			@TechReport{Abel1995,
			Title = {{V}ergleich konventioneller und pr\"adiktiver {R}egelung am {B}eispiel eines absatzweise betriebenen {R}eaktors},
			Author = {Abel, O. and Daszkowski, T. and Marquardt, W.},
			Institution = {Lehrstuhl f\"ur Prozesstechnik, RWTH Aachen},
			Year = {1995},
			Number = {1995-07},

			Keywords = {chemistry NMPC optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Abernethy2009,
			Title = {A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization},
			Author = {Abernethy, J. and Bach,F. and Evgeniou, T. and Vert, J.-P.},
			Journal = {J. Mach. Learn. Res.},
			Year = {2009},
			Pages = {803-826},
			Volume = {10},

			File = {:Statistical Learning/abernethy09a.pdf:PDF},
			Owner = {baldassarre},
			Timestamp = {2009.07.15}
			}

			@InProceedings{Abernethy2007,
			Title = {Multitask learning with expert advice},
			Author = {Abernethy, J. and Bartlett, P. and Rakhlin, A.},
			Booktitle = {Proc. Annual Conf. Learn. Theory},
			Year = {2007},
			Organization = {Springer-Verlag},
			Pages = {484--498},

			File = {abernethy2007multitask.pdf:Statistical Learning/Multitask/abernethy2007multitask.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Adamczak2011,
			Title = {Sharp bounds on the rate of convergence of the empirical covariance matrix},
			Author = {Adamczak, Rados{\l}aw and Litvak, Alexander E. and Pajor, Alain and Tomczak-Jaegermann, Nicole},
			Journal = {C. R. Acad. Sci. Paris, Ser. I},
			Year = {2011},
			Pages = {195--200},
			Volume = {349},

			Owner = {yhli},
			Timestamp = {2014.08.19}
			}

			@Unpublished{Adcock2013,
			Title = {Breaking the coherence barrier: A new theory for compressed sensing},
			Author = {Ben Adcock and Anders C. Hansen and Clarice Poon and Bogdan Roman},
			Note = {http://arxiv.org/abs/1302.0561},

			Month = {Feb.},
			Year = {2013},

			Owner = {jms265},
			Timestamp = {2014.08.18}
			}

			@Article{Adcock2013a,
			Title = {Breaking the coherence barrier: asymptotic incoherence and asymptotic sparsity in compressed sensing},
			Author = {Adcock, Ben and Hansen, Anders C and Poon, Clarice and Roman, Bogdan},
			Journal = {preprint},
			Year = {2013},

			File = {adcock2013breaking.pdf:adcock2013breaking.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Agarwal2011,
			Title = {A reliable effective terascale linear learning system},
			Author = {Agarwal, Alekh and Chapelle, Olivier and Dud{\'\i}k, Miroslav and Langford, John},
			Journal = {arXiv preprint arXiv:1110.4198},
			Year = {2011},

			File = {agarwal2011reliable.pdf:agarwal2011reliable.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@InProceedings{Agarwal2010,
			Title = {Learning Multiple Tasks Using Manifold Regularization},
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			Year = {2010},

			File = {agarwal2010learning.pdf:Statistical Learning\\Multitask\\agarwal2010learning.pdf:PDF},
			Owner = {BaldaZen},
			Timestamp = {2011.02.16}
			}

			@Misc{Aggarwal2004,
			Title = {A system identification approach for video-based face recognition},

			Author = {G. Aggarwal and A. Roy-Chowdhury and R. Chellappa},
			Year = {2004},

			File = {Aggarwal04SystemVideoFaceRecognition.pdf:VC/Aggarwal04SystemVideoFaceRecognition.pdf:PDF},
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			Text = {G. Aggarwal, A. Roy-Chowdhury, and R. Chellappa. A system identification approach for video-based face recognition. Internation Conference on Pattern Recognition, Cambridge, UK, August 2004.},
			Timestamp = {2014.11.25},
			Url = {citeseer.ist.psu.edu/aggarwal04system.html}
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			@InProceedings{Ahn2012,
			Title = {Graph sketches: sparsification, spanners, and subgraphs},
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			Year = {2012},
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			Owner = {jmscarlett},
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			Pages = {817–850},
			Volume = {6},

			File = {Aiolli05MultiPrototypeSVM.pdf:Statistical Learning/Multiclass/Aiolli05MultiPrototypeSVM.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.02.27}
			}

			@InProceedings{Akaike1973,
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			Address = {Budapest},
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			@Unpublished{Aksoylar2013,
			Title = {Sparse Signal Processing with Linear and Non-Linear Observations: A Unified {S}hannon Theoretic Approach},
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			Month = {April},
			Year = {2013},

			Owner = {Jono},
			Timestamp = {2014.08.21}
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			Owner = {quoctd},
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			@Book{Alber2006,
			Title = {Nonlinear ill-posed problems of monotone type},
			Author = {Alber, Yakov and Ryazantseva, Irina},
			Publisher = {Springer},
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			Address = {Dordrecht},

			Owner = {yhli},
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			@Article{Alber1998,
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			Timestamp = {2014.11.25}
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			@InProceedings{Albersmeyer2008,
			Title = {{S}ensitivity {G}eneration in an {A}daptive {BDF}-{M}ethod},
			Author = {J. Albersmeyer and H.G. Bock},
			Booktitle = {Modeling, Sim. and Opt. of Complex Processes},
			Year = {2008},
			Editor = {H.G. Bock and E. Kostina and X.H. Phu and R. Rannacher},
			Pages = {15--24},
			Publisher = {{S}pringer},

			Owner = {quoctd},
			Timestamp = {2013.08.23}
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			@Book{Alberts2002,
			Title = {{M}olecular {B}iology of the {C}ell},
			Author = {B. Alberts and A. Johnson and J. Lewis and M. Raff and Keith Roberts and Peter Walter},
			Publisher = {Garland Science},
			Year = {2002},

			Address = {New York},

			Keywords = {biology},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
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			@Conference{Aldrich2005,
			Title = {Time-energy optimal control of hyper-actuated mechanical systems with geometric path constraints},
			Author = {J.B. Aldrich and R.E. Skelton},
			Booktitle = {Decision and Control and 2005 European Control Conference},
			Year = {2005},
			Month = {December},
			Pages = {8246--8253},

			Owner = {quoctd},
			Timestamp = {2012.04.08}
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			@Article{Alessandri2008,
			Title = {Moving-horizon state estimation for nonlinear discrete-time systems: New stability results and approximation schemes},
			Author = {A. Alessandri and M. Baglietto and G. Battistelli},
			Journal = {Automatica},
			Year = {2008},
			Number = {7},
			Pages = {1753 - 1765},
			Volume = {44},

			Doi = {10.1016/j.automatica.2007.11.020},
			File = {:Alessandri2008.pdf:PDF},
			ISSN = {0005-1098},
			Keywords = {State estimation},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/pii/S0005109807004888}
			}

			@Article{Alessandri2010,
			Title = {Advances in moving horizon estimation for nonlinear systems},
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			Journal = {IEEE Conf. Decision and Control},
			Year = {2010},

			Month = {dec.},
			Pages = {5681-- 5688},

			Booktitle = {Decision and Control (CDC), 2010 49th IEEE Conference on},
			Doi = {10.1109/CDC.2010.5718126},
			File = {:Alessandri2010.pdf:PDF},
			ISSN = {0743-1546},
			Keywords = {dynamic system;estimation cost function minimization;moving horizon estimation;nonlinear programming sensitivity calculations;nonlinear systems;observability conditions;sliding window;stability analysis;weight matrix;nonlinear programming;nonlinear systems;observability;},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Alexandre2008,
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			Journal = {SIAM J. Matrix Anal. App.},
			Year = {2008},
			Number = {1},
			Pages = {56--66},
			Volume = {30},

			Owner = {quoctd},
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			}

			@Article{Allen-Zhu2014,
			Title = {A novel, simple interpretation of {N}esterov's accelerated method as a combination of gradient and mirror descent},
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			Year = {2014},
			Note = {arXiv:1407.1537v1 [cs.DS]},

			Owner = {yhli},
			Timestamp = {2014.07.24}
			}

			@InCollection{Allgoewer1999,
			Title = {{N}onlinear {P}redictive {C}ontrol and {M}oving {H}orizon {E}stimation -- {An} {I}ntroductory {O}verview},
			Author = {Allg\"ower, F. and Badgwell, T.A. and Qin, J.S. and Rawlings, J.B. and Wright, S.J.},
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			Publisher = {Springer},
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			Pages = {391--449},

			Keywords = {NMPC optimal control},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Allgoewer2000,
			Title = {{E}fficient {N}onlinear {M}odel {P}redictive {C}ontrol for {L}arge {S}cale {C}onstrained {P}rocesses},
			Author = {Allg\"ower, F. and Findeisen, R. and Nagy, Z. and Diehl, M. and Bock, H.G. and Schl\"oder, J.P.},
			Booktitle = {Proc. Int. Conf. Methods and Models in Automation and Robotics},
			Year = {2000},
			Pages = {43--54},
			Publisher = {Miedzyzdroje, Poland},

			In = {S. Domek, R. Kaszynski},
			Keywords = {NMPC optimal control optimal control NMPC agbock},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Allgoewer2000a,
			Title = {{N}onlinear {P}redictive {C}ontrol},
			Author = {F. Allg\"ower and A. Zheng},
			Publisher = {Birkh\"auser},
			Year = {2000},

			Address = {Basel Boston Berlin},
			Series = {Progress in Systems Theory},
			Volume = {26},

			Key = {ISBN 3-7643-6297-9},
			Keywords = {optimal control NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			@TechReport{Alvarez2011,
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			Author = {Mauricio A. Alvarez and Lorenzo Rosasco, and Neil D. Lawrence},
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			Year = {2011},

			File = {alvarez2011kernels.pdf:Statistical Learning/Vector-valued/alvarez2011kernels.pdf:PDF},
			Owner = {baldassarre},
			Timestamp = {2012.01.09}
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			@InProceedings{Alvarez2009,
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			Year = {2009},
			Pages = {9-16},
			Volume = {5},

			File = {:Statistical Learning/Multitask/alvarez09latentforcemodels.pdf:PDF},
			Owner = {baldassarre},
			Timestamp = {2009.09.30}
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			Author = {F. Bach},
			Year = {2013},

			File = {:Papers/Bach2013a.pdf:PDF},
			Institution = {HAL 00804431},
			Owner = {quoctd},
			Timestamp = {2012.11.05},
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			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
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			Owner = {jmscarlett},
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			Owner = {jmscarlett},
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			Year = {2008},
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			ISSN = {1532-4435},
			Owner = {jmscarlett},
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			Author = {Bach, F. and Jenatton, R. and Mairal, J. and Obozinski, G.},
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			Editor = {Sra, S. and Nowozin, S. and Wright, S.J.},
			Pages = {19--54},
			Publisher = {MIT Press},
			Year = {2011},

			Journal = {Optimization for Machine Learning},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
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			Title = {Optimization with sparsity-inducing penalties},
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			Journal = {Found. Trends Mach. Learn.},
			Year = {2012},
			Number = {1},
			Pages = {1--106},
			Volume = {4},

			Owner = {yhli},
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			@TechReport{Bach2011c,
			Title = {Structured sparsity through convex optimization},
			Author = {Bach, F. and Jenatton, R. and Mairal, j. and Obozinski, G.},
			Institution = {Arxiv preprint:1109.2397},
			Year = {2011},

			File = {bach2011structured.pdf:Statistical Learning\\SPARSITY\\bach2011structured.pdf:PDF},
			Owner = {BaldaZen},
			Timestamp = {2012.01.12}
			}

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			Booktitle = {Proc. Int. Conf. Mach. Learn. (ICML)},
			Year = {2004},
			Organization = {ACM New York, NY, USA},

			Owner = {baldassarre},
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			@Unpublished{Bach2013,
			Title = {Non-strongly-convex smooth stochastic approximation with convergence rate ${O}(1/n)$},
			Author = {Bach, Francis and Moulines, Eric},
			Note = {hal-00831977, version 1},

			Month = jan,
			Year = {2013},

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			Year = {2008},

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			School = {Universit{\'e} Catholique de Louvain, Louvain-la-Neuve, Belgium},
			Year = {2006},
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			Keywords = {OPTEC-library},
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			Author = {L. Baldassarre},
			Institution = {LIONS, EPFL, Switzerland},
			Year = {2012},
			Type = {Tech. Report},

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			Year = {2010},
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			Keywords = {biology computing, regression analysisanthropometric characteristics, body-iron burden, body-iron overload, iron overload estimation, magnetic iron detector, magnetic track, non-invasive assessment, scalar-valued regression task, vector valued regression, vector-valued feature map, vector-valued function},
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			Publisher = {Philadalphia: Society for Industrial and Applied Mathematics. Also available as postscript file on http://www.netlib.org\/templates\/Templates.html},
			Year = {1994},

			Abstract = {how the templates and {BLAS} software can be obtained. A glossary of important terms used in the book is also provided. The field of iterative methods for solving systems of linear equations is in constant flux, with new methods and approaches continually being created, modified, tuned, and some eventually discarded. We expect the material in this book to undergo changes from time to time as some of these new approaches mature and become the state-ofthe -art. Therefore, we plan to update the...},
			File = {Barrett1994.pdf:Barrett1994.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.3809}
			}

			@Article{Barron1994,
			Title = {Performance of optical flow techniques},
			Author = {Barron, JL and Fleet, DJ and Beauchemin, SS},
			Journal = {Int. J. Comp. Vision},
			Year = {1994},
			Number = {1},
			Pages = {43--77},
			Volume = {12},

			File = {:VC/barron94performance.pdf:PDF},
			Owner = {baldassarre},
			Publisher = {Springer},
			Timestamp = {2009.08.18}
			}

			@Article{Bartlett2002a,
			Title = {Rademacher and Gaussian complexities: Risk bounds and structural results},
			Author = {Bartlett, P.L. and Mendelson, S.},
			Journal = {J. Mach. Learn. Res.},
			Year = {2002},
			Number = {3},
			Pages = {463--482},
			Volume = {3},

			File = {bartlett2002rademacher.pdf:Statistical Learning/bartlett2002rademacher.pdf:PDF},
			Owner = {baldassarre},
			Publisher = {Springer},
			Timestamp = {2010.01.05}
			}

			@Article{Bartlett2006,
			Title = {Convexity, classification, and risk bounds},
			Author = {Bartlett, Peter L. and Jordan, Michael I. and McAuliffe, Jon D.},
			Journal = {J. Amer. Math. Assoc.},
			Year = {2006},

			Month = mar,
			Number = {473},
			Pages = {138--156},
			Volume = {101},

			Owner = {yhli},
			Timestamp = {2014.07.24}
			}

			@TechReport{Bartlett2003,
			Title = {Convexity, Classification, and Risk Bounds},
			Author = {P. L. Bartlett and M. I. Jordan and J. D. McAuliffe},
			Institution = {University of California, Berkeley},
			Year = {2003},

			File = {Bartlett03ConvexityBounds.pdf:Statistical Learning/Bartlett03ConvexityBounds.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.03.12}
			}

			@Article{Barzilai1988,
			Title = {{Two-Point Step Size Gradient Methods}},
			Author = {Barzilai, J. and Borwein, J. M.},
			Journal = {IMA J. Numer. Anal.},
			Year = {1988},

			Month = jan,
			Number = {1},
			Pages = {141--148},
			Volume = {8},

			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Batschelet1980,
			Title = {{E}inf\"uhrung in die {M}athematik f\"ur {B}iologen},
			Author = {E. Batschelet},
			Publisher = {Springer},
			Year = {1980},

			Address = {Heidelberg},
			Note = {Sehr sch\"one Beispiele},

			Keywords = {biology},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Bauer2005,
			Title = {Estimating Linear Dynamical Systems Using Subspace Methods},
			Author = {Bauer, Dietmar},
			Journal = {Econometric Theory},
			Year = {2005},

			Month = {February},
			Note = {available at http://ideas.repec.org/a/cup/etheor/v21y2005i01p181-211.html},
			Number = {01},
			Pages = {181-211},
			Volume = {21},

			File = {Bauer05Subspace.pdf:Statistics/Bauer05Subspace.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Bauer2007,
			Title = {On regularization algorithms in learning theory},
			Author = {Bauer, Frank and Pereverzev, Sergei and Rosasco, Lorenzo},
			Journal = {J. Complex.},
			Year = {2007},
			Number = {1},
			Pages = {52--72},
			Volume = {23},

			Address = {Orlando, FL, USA},
			Doi = {http://dx.doi.org/10.1016/j.jco.2006.07.001},
			File = {:Statistical Learning/bauer07regularization.pdf:PDF},
			ISSN = {0885-064X},
			Owner = {Luca},
			Publisher = {Academic Press, Inc.},
			Timestamp = {2008.08.13}
			}

			@PhdThesis{Bauer1999,
			Title = {{N}umerische {V}erfahren zur {L}\"osung von {A}nfangswertaufgaben und zur {G}enerierung von ersten und zweiten {A}bleitungen mit {A}nwendungen bei {O}ptimierungsaufgaben in {C}hemie und {V}erfahrenstechnik},
			Author = {I. Bauer},
			School = {Universit\"at Heidelberg},
			Year = {1999},

			File = {Bauer1999.pdf:Bauer1999.pdf:PDF},
			Keywords = {agbock DAE},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.ub.uni-heidelberg.de/archiv/1513}
			}

			@Article{Bauer2000,
			Title = {{N}umerical methods for optimum experimental design in {DAE} systems},
			Author = {I. Bauer and H.G. Bock and S. K\"orkel and J.P. Schl\"oder},
			Journal = {J. Comp. App. Math.},
			Year = {2000},
			Number = {1-2},
			Pages = {1--15},
			Volume = {120},

			File = {Bauer2000.pdf:Bauer2000.pdf:PDF},
			Keywords = {agbock DAE experimental design},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Misc{Bauer1999a,
			Title = {{DAESOL} -- a {BDF}-code for the numerical solution of differential algebraic equations},

			Author = {I. Bauer and H.G. Bock and J.P. Schl\"oder},
			HowPublished = {Internal report, IWR, SFB 359, Universit\"at Heidelberg},
			Year = {1999},

			File = {Bauer1999a.pdf:Bauer1999a.pdf:PDF},
			Keywords = {agbock DAE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Bauer1997,
			Title = {{S}imulation of chemical reactions and dust destruction in protoplanetary accretion discs},
			Author = {I. Bauer and F. Finocchi and W.J. Duschl and H.-P. Gail and J.P. Schl\"oder},
			Journal = {Astron. Astrophys.},
			Year = {1997},
			Pages = {273--289},
			Volume = {317},

			Keywords = {agbock DAE chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Bausa2001,
			Title = {{D}etailed {M}odeling of {S}tationary and {T}ransient {M}ass {T}ransfer {A}cross {P}ervaporation {M}embranes},
			Author = {J. Bausa and W. Marquardt},
			Journal = {{AIChE} Journal},
			Year = {2001},
			Number = {6},
			Pages = {1318--1332},
			Volume = {47},

			Keywords = {chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Bauschke2011,
			Title = {Convex analysis and monotone operator thoery in {H}ilbert spaces},
			Author = {Bauschke, Heinz H. and Combettes, Patrick L.},
			Publisher = {Springer},
			Year = {2011},

			Address = {New York, NY},

			Owner = {yhli},
			Timestamp = {2014.11.07}
			}

			@Book{Baxevanis2001,
			Title = {Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Second Edition},
			Author = {Andreas D. Baxevanis and B. F. Francis Ouellette},
			Publisher = {Wiley-Interscience},
			Year = {2001},

			File = {Bioinformatics - Computational Genetics - Wiley.pdf:BIO/Bioinformatics - Computational Genetics - Wiley.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.03.12}
			}

			@Article{Baxter2000,
			Title = {A model of inductive bias learning},
			Author = {Baxter, J.},
			Journal = {J. Art. Int. Res.},
			Year = {2000},
			Pages = {149--198},
			Volume = {12},

			File = {baxter2000model.pdf:Statistical Learning/Multitask/baxter2000model.pdf:PDF},
			Owner = {baldassarre},
			Publisher = {Citeseer},
			Timestamp = {2010.01.05}
			}

			@Book{Bazaara1979,
			Title = {{N}onlinear {P}rogramming: {T}heory and {A}pplications},
			Author = {Bazaara, M.S. and C.M. Shetty},
			Publisher = {Wiley},
			Year = {1979},

			Address = {New York},

			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Beal2005,
			Title = {A Bayesian approach to reconstructing genetic regulatory networks with hidden factors.},
			Author = {Matthew J Beal and Francesco Falciani and Zoubin Ghahramani and Claudia Rangel and David L Wild},
			Journal = {Bioinformatics},
			Year = {2005},

			Month = {Feb},
			Number = {3},
			Pages = {349--356},
			Volume = {21},

			Abstract = {MOTIVATION: We have used state-space models (SSMs) to reverse engineer transcriptional networks from highly replicated gene expression profiling time series data obtained from a well-established model of T cell activation. SSMs are a class of dynamic Bayesian networks in which the observed measurements depend on some hidden state variables that evolve according to Markovian dynamics. These hidden variables can capture effects that cannot be directly measured in a gene expression profiling experiment, for example: genes that have not been included in the microarray, levels of regulatory proteins, the effects of mRNA and protein degradation, etc. RESULTS: We have approached the problem of inferring the model structure of these state-space models using both classical and Bayesian methods. In our previous work, a bootstrap procedure was used to derive classical confidence intervals for parameters representing 'gene-gene' interactions over time. In this article, variational approximations are used to perform the analogous model selection task in the Bayesian context. Certain interactions are present in both the classical and the Bayesian analyses of these regulatory networks. The resulting models place JunB and JunD at the centre of the mechanisms that control apoptosis and proliferation. These mechanisms are key for clonal expansion and for controlling the long term behavior (e.g. programmed cell death) of these cells. AVAILABILITY: Supplementary data is available at http://public.kgi.edu/wild/index.htm and Matlab source code for variational Bayesian learning of SSMs is available at http://www.cse.ebuffalo.edu/faculty/mbeal/software.html.},
			Doi = {10.1093/bioinformatics/bti014},
			File = {Beal05.pdf:BIO/Beal05.pdf:PDF},
			Keywords = {Bayes Theorem; Computer Simulation; Gene Expression Profiling; Gene Expression Regulation; Markov Chains; Models, Genetic; Models, Statistical; Oligonucleotide Array Sequence Analysis; Signal Transduction; Transcription Factors},
			Owner = {luca},
			Pii = {bti014},
			Pmid = {15353451},
			Timestamp = {2007.01.25},
			Url = {http://dx.doi.org/10.1093/bioinformatics/bti014}
			}

			@InProceedings{Beccuti2006,
			Title = {A distributed solution approach to centralized emergency voltage control},
			Author = {Beccuti, A.G. and Morari, M.},
			Booktitle = {Amer. Control Conf. (ACC)},
			Year = {2006},
			Month = {june},
			Pages = {6},

			Doi = {10.1109/ACC.2006.1657251},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Beck2010,
			Title = {A sequential parametric convex approximation method
			with applications to nonconvex truss topology design
			problems},
			Author = {A. Beck and A. Ben-Tal and L. Tetruashvili},
			Journal = {J. Global Opt.},
			Year = {2010},
			Pages = {29--51},
			Volume = {47},

			File = {:Papers/Beck2010.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Beck2012b,
			Title = {Sparsity Constrained Nonlinear Optimization: Optimality Conditions and Algorithms},
			Author = {A. Beck and Y.C. Eldar},
			Journal = {Tech. Report.},
			Year = {2012},
			Pages = {xx},
			Volume = {xx},

			File = {:Papers/Beck2012b.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.24}
			}

			@Article{Beck2012,
			Title = {On the solution of the {GPS} localization and circle fitting problems},
			Author = {A. Beck and D. Pan},
			Journal = {SIAM J. Opt.},
			Year = {2012},
			Number = {1},
			Pages = {108--134},
			Volume = {22},

			File = {:Papers/Beck2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.22}
			}

			@Article{Beck2014,
			Title = {A fast dual proximal gradient algorithm for convex minimization and applications},
			Author = {A. Beck and M. Teboulle},
			Journal = {Oper. Res. Lett.},
			Year = {2014},
			Number = {1},
			Pages = {1--6},
			Volume = {42},

			Owner = {quoctd},
			Timestamp = {2014.03.14}
			}

			@Article{Beck2012a,
			Title = {Smoothing and First Order Methods: A Unified Framework},
			Author = {A. Beck and M. Teboulle},
			Journal = {SIAM J. Opt.},
			Year = {2012},
			Number = {2},
			Pages = {557--580},
			Volume = {22},

			File = {:Papers/Beck2012a.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.24}
			}

			@Article{Beck2009,
			Title = {A fast iterative shrinkage-thresholding algorithm for linear inverse problems},
			Author = {Beck, Amir and Teboulle, Marc},
			Journal = {SIAM J. Imaging Sci.},
			Year = {2009},
			Number = {1},
			Pages = {183--202},
			Volume = {2},

			Owner = {yhli},
			Timestamp = {2014.03.13}
			}

			@Article{Beck2009a,
			Title = {{A} {F}ast {I}terative {S}hrinkage-{T}hresholding {A}lgorithm for {L}inear {I}nverse {P}roblems},
			Author = {Beck, A. and Teboulle, M.},
			Journal = {SIAM J. Imaging Sciences},
			Year = {2009},
			Number = {1},
			Pages = {183--202},
			Volume = {2},

			Owner = {quoctd},
			Timestamp = {2012.06.28}
			}

			@Article{Beck2009b,
			Title = {Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems},
			Author = {A. Beck and M. Teboulle},
			Journal = {IEEE Trans. Image Proc.},
			Year = {2009},
			Number = {11},
			Pages = {2419--2434},
			Volume = {18},

			Owner = {quoctd},
			Timestamp = {2013.03.15}
			}

			@Article{Beck2003,
			Title = {Mirror descent and nonlinear projected subgradient methods for convex optimization},
			Author = {Beck, Amir and Teboulle, Marc},
			Journal = {Oper. Res. Lett.},
			Year = {2003},
			Pages = {167--175},
			Volume = {31},

			Owner = {yhli},
			Timestamp = {2014.03.18}
			}

			@Book{Beck-Bornholdt2001,
			Title = {{D}er {H}und, der {E}ier legt. {E}rkennen von {F}ehlinformation durch {Q}uerdenken},
			Author = {H.-P. Beck-Bornholdt and H.-H. Dubben and I. Hoffmann},
			Publisher = {Rowohlt Taschenbuch},
			Year = {2001},

			Address = {Reinbek},
			Edition = {2},

			Keywords = {miscellaneous},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Becker2004,
			Title = {{N}umerical parameter estimation for chemical models in multidimensional reactive flows},
			Author = {R. Becker and M. Braack and B. Vexler},
			Journal = {Combustion Theory and Modelling},
			Year = {2004},
			Number = {4},
			Pages = {661--682},
			Volume = {8},

			Keywords = {chemistry parameter estimation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Becker2011c,
			Title = {NESTA: a fast and accurate first-order method for sparse recovery},
			Author = {Becker, S. and Bobin, J. and Cand{\`e}s, E.J.},
			Journal = {SIAM Journal on Imaging Sciences},
			Year = {2011},
			Number = {1},
			Pages = {1--39},
			Volume = {4},

			Owner = {jmscarlett},
			Publisher = {SIAM},
			Timestamp = {2014.11.25}
			}

			@Article{Becker2011b,
			Title = {{NESTA}: a fast and accurate first-order method for sparse recovery},
			Author = {S. Becker and J. Bobin and E.J. Cand\`{e}s},
			Journal = {SIAM J. Imaging Sci.},
			Year = {2011},
			Number = {1},
			Pages = {1--39},
			Volume = {4},

			File = {:Papers/Becker2011.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.01.10}
			}

			@Article{Becker2011,
			Title = {Templates for convex cone problems with applications to sparse signal recovery},
			Author = {Becker, Stephen and Candès, Emmanuel and Grant, Michael},
			Journal = {Math. Prog. Comp.},
			Year = {2011},
			Note = {10.1007/s12532-011-0029-5},
			Pages = {1-54},

			Affiliation = {Applied and Computational Mathematics, California Institute of Technology, Pasadena, CA 91125, USA},
			File = {becker2010templates.pdf:Optimization/becker2010templates.pdf:PDF},
			ISSN = {1867-2949},
			Keyword = {Mathematics},
			Owner = {jmscarlett},
			Publisher = {Springer Berlin / Heidelberg},
			Timestamp = {2014.11.25},
			Url = {http://dx.doi.org/10.1007/s12532-011-0029-5}
			}

			@Article{Becker2012c,
			Title = {Sparse projections onto the simplex},
			Author = {Becker, S. and Cevher, V. and Koch, C. and Kyrillidis, A.},
			Journal = {arXiv preprint arXiv:1206.1529},
			Year = {2012},

			File = {becker2012sparse.pdf:Optimization/becker2012sparse.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Becker2013,
			Title = {An Algorithm for Splitting Parallel Sums of Linearly Composed Monotone Operators, with Applications to Signal Recovery},
			Author = {Becker, Stephen and Combettes, Patrick L},
			Journal = {arXiv preprint arXiv:1305.5828},
			Year = {2013},

			File = {becker2013algorithm.pdf:Optimization/becker2013algorithm.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Conference{Becker2012,
			Title = {A quasi-{N}ewton proximal splitting method},
			Author = {S. Becker and M.J. Fadili},
			Booktitle = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2012},

			File = {:Papers/Becker2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.01.10}
			}

			@TechReport{Becker2012a,
			Title = {A quasi-Newton proximal splitting method},
			Author = {S. Becker and M.J. Fadili},
			Institution = {LJLL, CNRS-UPMC, Paris France},
			Year = {2012},
			Type = {Tech. Report},

			Owner = {quoctd},
			Timestamp = {2013.01.30}
			}

			@Article{Beer2004,
			Title = {Predicting gene expression from sequence.},
			Author = {Michael A Beer and Saeed Tavazoie},
			Journal = {Cell},
			Year = {2004},

			Month = {Apr},
			Number = {2},
			Pages = {185--198},
			Volume = {117},

			Abstract = {We describe a systematic genome-wide approach for learning the complex combinatorial code underlying gene expression. Our probabilistic approach identifies local DNA-sequence elements and the positional and combinatorial constraints that determine their context-dependent role in transcriptional regulation. The inferred regulatory rules correctly predict expression patterns for 73\% of genes in Saccharomyces cerevisiae, utilizing microarray expression data and sequences in the 800 bp upstream of genes. Application to Caenorhabditis elegans identifies predictive regulatory elements and combinatorial rules that control the phased temporal expression of transcription factors, histones, and germline specific genes. Successful prediction requires diverse and complex rules utilizing AND, OR, and NOT logic, with significant constraints on motif strength, orientation, and relative position. This system generates a large number of mechanistic hypotheses for focused experimental validation, and establishes a predictive dynamical framework for understanding cellular behavior from genomic sequence.},
			File = {Beer04Predicting Gene Expr from Seq.pdf:BIO/Beer04Predicting Gene Expr from Seq.pdf:PDF},
			Keywords = {Animals; Base Sequence; Bayes Theorem; Cae; Gene Expression Profiling; Gene Expression Regulation; Genes; Genome; Models, Statistical; Multigene Family; Oligonu; Predictive Value of Tests; Recombination, Genetic; Reproducibility of Results; Saccharomyces cerevisiae; Transcription Factors; cleotide Array Sequence Analysis; norhabditis elegans},
			Owner = {luca},
			Pii = {S0092867404003046},
			Pmid = {15084257},
			Timestamp = {2007.01.25}
			}

			@PhdThesis{Belkin2003,
			Title = {Problems of Learning on Manifolds},
			Author = {Belkin},
			School = {University of Chicago},
			Year = {2003},

			File = {Belkin - Problems of learning on manifolds.pdf:Statistical Learning/Belkin - Problems of learning on manifolds.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.26}
			}

			@TechReport{Belkin2002,
			Title = {Laplacian Eigenmaps for Dimensionality Reduction and Data Representation},
			Author = {Belkin and Niyogi},
			Year = {2002},

			File = {BelkinNiyogi03Laplacian.pdf:Statistical Learning/BelkinNiyogi03Laplacian.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.26}
			}

			@Article{Belloni2011,
			Title = {Square-root lasso: {P}ivotal recovery of sparse signals via conic programming},
			Author = {A. Belloni and V. Chernozhukov and L. Wang},
			Journal = {Biometrika},
			Year = {2011},
			Number = {4},
			Pages = {791--806},
			Volume = {94},

			Owner = {quoctd},
			Timestamp = {2014.01.27}
			}

			@Article{Belloni2013,
			Title = {Honest confidence regions for a regression parameter in logistic regression with a large number of controls},
			Author = {Belloni, Alexandre and Chernozhukov, Victor and Wei, Ying},
			Year = {2013},

			Month = aug,
			Note = {arXiv:1304.3996v2 [stat.ME]},

			Owner = {yhli},
			Timestamp = {2014.08.13}
			}

			@Article{Bemporad2003,
			Title = {{M}in-max {C}ontrol of {C}onstrained {U}ncertain {D}iscrete-{T}ime {L}inear {S}ystems},
			Author = {Bemporad, A. and F. Borrelli and M. Morari},
			Journal = {IEEE Trans. Aut. Control},
			Year = {2003},
			Note = {in press},

			File = {Bemporad2003.pdf:Bemporad2003.pdf:PDF},
			Keywords = {optimal control robust hybrid},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Bemporad2002,
			Title = {{M}odel {P}redictive {C}ontrol {B}ased on {L}inear {P}rogramming - {T}he {E}xplicit {S}olution},
			Author = { Bemporad, A. and Borrelli, F. and Morari, M.},
			Journal = {IEEE Trans. Aut. Control},
			Year = {2002},
			Number = {12},
			Pages = {1974--1985},
			Volume = {47},

			Keywords = {optimal control robust hybrid NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Bemporad1999,
			Title = {{T}he {E}xplicit {S}olution of {C}onstrained {LP}-{B}ased {R}eceding {H}orizon {C}ontrol},
			Author = {A. Bemporad and F. Borrelli and M. Morari},
			Booktitle = {Proc. {IEEE} Conf. Decision and Control},
			Year = {1999},

			Address = {Sydney, Australia},

			Keywords = {optimal control robust hybrid realtime},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Title = {{P}redictive {C}ontrol of {C}onstrained {H}ybrid {S}ystems},
			Author = {Bemporad, A. and Morari, M.},
			Booktitle = {Nonlinear Predictive Control},
			Year = {2000},

			Address = {Basel Boston Berlin},
			Editor = {F. Allg\"ower and A. Zheng},
			Pages = {71--98},
			Publisher = {Birkh\"auser},
			Series = {Progress in Systems Theory},
			Volume = {26},

			Key = {ISBN 3-7643-6297-9},
			Keywords = {optimal control robust hybrid NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InCollection{Bemporad1999a,
			Title = {{R}obust model predictive control: {A} survey},
			Author = {A. Bemporad and M. Morari},
			Booktitle = {Robustness in Identification and Control},
			Publisher = {Springer-Verlag},
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			Editor = {A. Garulli and A. Tesi and A. Vicino},
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			Keywords = {optimal control robust hybrid},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Bemporad1999b,
			Title = {{C}ontrol of systems integrating logic, dynamics, and constraints},
			Author = {A. Bemporad and M. Morari},
			Journal = {Automatica},
			Year = {1999},
			Number = {3},
			Pages = {407--427},
			Volume = {35},

			File = {Bemporad1999b.pdf:Bemporad1999b.pdf:PDF},
			Keywords = {optimal control robust hybrid},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Bemporad2009,
			Title = {Multiobjective model predictive control},
			Author = {Alberto Bemporad and David Muñoz de la Peña},
			Journal = {Automatica},
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			Volume = {45},

			Doi = {10.1016/j.automatica.2009.09.032},
			File = {Bemporad2009.pdf:Bemporad2009.pdf:PDF},
			ISSN = {0005-1098},
			Keywords = {Model predictive control},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/pii/S0005109809004427}
			}

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			Author = {A. Ben-Tal and A.K. Nemirovski},
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			Number = {Faculty of Industrial Engineering and Management, Technion
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			}

			@Article{Ben-Tal1996,
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			Keywords = {computation},
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			Journal = {{SIAM} J. Sci. Comp.},
			Year = {2000},
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			Keywords = {computation},
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			}

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			Author = {E. {van den} Berg and M. P. Friedlander and G. Hennenfent and F. Herrmann and R. Saab and {\"O}. Y{\i}lmaz},
			Institution = {Dept. Computer Science},
			Year = {2007},

			Address = {University of British Columbia, Vancouver},
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			Number = {TR-2007-20},

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			File = {vandenberg2012single.pdf:COMPRESSIVE SENSING/vandenberg2012single.pdf:PDF},
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			Author = {Berinde, R. and Gilbert, A. C. and Indyk, P. and Karloff, H. and Strauss, M. J.},
			Booktitle = {Allerton Conf. on Comm., Control and Comp.},
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			Year = {2007},

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			Author = {Bertsekas, D.P.},
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			Author = {D.P. Bertsekas},
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			File = {:Papers/Bertsekas2011.pdf:PDF},
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			@Article{Bertsekas1982,
			Title = {Projected Newton methods for optimization problems with simple constraints},
			Author = {Bertsekas, D.},
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			Owner = {jmscarlett},
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			@Book{Bertsekas1996b,
			Title = {{S}tochastic {O}ptimal {C}ontrol: {T}he {D}iscrete {T}ime {C}ase},
			Author = {Bertsekas, D.P. and Shreve, S.E.},
			Publisher = {Athena Scientific},
			Year = {1996},

			Address = {Belmont, MA},

			Keywords = {optimal control, OPTEC-library},
			Owner = {quoctd},
			Timestamp = {2012.11.25}
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			@Book{Bertsekas1996a,
			Title = {{N}euro-{D}ynamic {P}rogramming},
			Author = {Bertsekas, D.P. and Tsitsiklis, J.N.},
			Publisher = {Athena Scientific},
			Year = {1996},

			Address = {Belmont, MA},

			Keywords = {optimal control, OPTEC-library},
			Owner = {quoctd},
			Timestamp = {2012.11.25}
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			@Article{Bertsekas1991,
			Title = {{S}ome {A}spects of {P}arallel and {D}istributed {I}terative {A}lgorithms - {A} {S}urvey},
			Author = {D.P. Bertsekas and J.N. Tsitsiklis},
			Journal = {Automatica},
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			File = {:Papers/Bertsekas1991.pdf:PDF},
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			Timestamp = {2012.10.11}
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			@Book{Bertsekas1996,
			Title = {{C}onstrained {O}ptimization and {L}agrange {M}ultiplier {M}ethods ({O}ptimization and {N}eural {C}omputation {S}eries)},
			Author = {Dimitri P. Bertsekas},
			Publisher = {Athena Scientific},
			Year = {1996},

			Added-at = {2009-08-14T15:59:35.000+0200},
			Asin = {1886529043},
			Biburl = {http://www.bibsonomy.org/bibtex/2d48c40d4067d2aee63eed3f91cbd5a9b/ahmedjawwad4u},
			Description = {Amazon.com: Constrained Optimization and Lagrange Multiplier Methods (Optimization and Neural Comp. Series) (9781886529045): Dimitri P. Bertsekas: Books},
			Ean = {9781886529045},
			Interhash = {1a85768c18441adba5282c5787939af2},
			Intrahash = {d48c40d4067d2aee63eed3f91cbd5a9b},
			ISBN = {1886529043},
			Keywords = {book lagrange-multiplier optimization distributed},
			Owner = {quoctd},
			Timestamp = {2012.11.25}
			}

			@Article{Bertsekas1982a,
			Title = {Constrained optimization and Lagrange multiplier methods},
			Author = {Bertsekas, Dimitri P},
			Journal = {Comp. Sci. App. Math.},
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			Volume = {1},

			Owner = {jmscarlett},
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			@InProceedings{Bertsekas1981,
			Title = {Projected Newton methods for optimization problems with simple constraints},
			Author = {Dimitri P. Bertsekas},
			Booktitle = {Decision and Control including the Symposium on Adaptive Processes, 1981 20th IEEE Conference on},
			Year = {1981},
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			Pages = {762-767},
			Volume = {20},

			Doi = {10.1109/CDC.1981.269317},
			File = {Bertsekas1981.pdf:Bertsekas1981.pdf:PDF},
			Keywords = {distributed optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
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			@InProceedings{Bertsekas1989,
			Title = {Convergence rate and termination of asynchronous iterative algorithms},
			Author = {Bertsekas, Dimitri P. and Tsitsiklis, John N.},
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			Address = {New York, NY, USA},
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			File = {Bertsekas1989a.pdf:Bertsekas1989a.pdf:PDF},
			ISBN = {0-89791-309-4},
			Keywords = {asynchronous algorithms, distributed algorithms, iterative methods, parallel algorithms, termination detection, distributed optimization},
			Location = {Crete, Greece},
			Numpages = {10},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://doi.acm.org/10.1145/318789.318894}
			}

			@Article{Bertsimas2011,
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			Journal = {SIAM Rev.},
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			@Conference{Bhan2013,
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			Author = {Bhan, N. and Baldassarre, L. and Cevher, V.},
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			Year = {1997},

			Address = {Evanston, IL 60208--3119, USA},
			Number = {OTC\,97/06},

			Keywords = {optimization},
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			@InCollection{Biegler1991,
			Title = {{O}ptimization approaches to nonlinear model predictive control},
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			@InCollection{Binder2001,
			Title = {{I}ntroduction to {M}odel {B}ased {O}ptimization of {C}hemical {P}rocesses on {M}oving {H}orizons},
			Author = {T. Binder and L. Blank and H.G. Bock and R. Bulirsch and W. Dahmen and M. Diehl and T. Kronseder and W. Marquardt and J.P. Schl\"oder and O.v. Stryk},
			Booktitle = {Online {O}ptimization of {L}arge {S}cale Systems: {S}tate of the {A}rt},
			Publisher = {Springer},
			Year = {2001},
			Editor = {M. Gr\"otschel and S.O. Krumke and J. Rambau},
			Pages = {295--340},

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			Keywords = {chemistry optimal control NMPC agbock},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.kuleuven.be/optec/OLD/research/subgroups/fastMPC/publications/Binder2001.php}
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			@InCollection{Binder2001a,
			Title = {{M}ultiscale {C}oncepts for {M}oving {H}orizon {O}ptimization},
			Author = {T. Binder and L. Blank and W. Dahmen and W. Marquardt},
			Booktitle = {Online {O}ptimization of {L}arge {S}cale Systems: {S}tate of the {A}rt},
			Publisher = {Springer},
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			Editor = {M. Gr\"otschel and S.O. Krumke and J. Rambau},
			Note = {download at: http://www.zib.de/dfg-echtzeit/Publikationen/Preprints/Preprint-01-17.html},
			Pages = {341--361},

			Keywords = {optimal control NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@PhdThesis{Bindlish1999,
			Title = {{M}odelling and {C}ontrol of {P}olymerization {P}rocesses},
			Author = {R. Bindlish},
			School = {University of Wisconsin-Madison},
			Year = {1999},

			File = {Bindlish1999.pdf:Bindlish1999.pdf:PDF},
			Keywords = {optimal control chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Bindlish2003,
			Title = {{T}arget linearization and model predictive control of polymerization processes},
			Author = {R. Bindlish and J.B. Rawlings},
			Journal = {{AIChE} Journal},
			Year = {2003},

			Month = {November},
			Number = {11},
			Pages = {2885--2899},
			Volume = {49},

			Keywords = {optimal control chemistry NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Bindlish2003a,
			Title = {{P}arameter estimation for industrial polymerization processes},
			Author = {R. Bindlish and J.B. Rawlings and R.E. Young},
			Journal = {{AIChE} Journal},
			Year = {2003},
			Number = {8},
			Pages = {2071--2078},
			Volume = {49},

			Keywords = {optimal control chemistry parameter estimation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Birge1985,
			Title = {{D}ecomposition and {P}artitioning {M}ethods for {M}ultistage {S}tochastic {L}inear {P}rograms},
			Author = {Birge, J.R.},
			Journal = {Oper. Res.},
			Year = {1985},
			Number = {5},
			Pages = {989--1007},
			Volume = {33},

			File = {:Papers/Birge1985.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.06.07}
			}

			@Article{Bischof1992,
			Title = {{ADIFOR} {G}enerating derivative codes from {F}ortran programs},
			Author = {Bischof, C.H. and Carle, A. and Corliss, G. and Griewank, A. and Hovland, P.},
			Journal = {Scientific Programming},
			Year = {1992},
			Pages = {11--29},
			Volume = {1},

			Keywords = {automatic differentiation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Bischof1994,
			Title = {{T}he {ADIFOR} 2.0 {S}ystem for the {A}utomatic {D}ifferentiation of {F}ortran 77 {P}rograms},
			Author = {C.H. Bischof and A. Carle and P.M. Khademi and A. Mauer},
			Institution = {Mathematics and Computer Science Division, Argonne National Laboratory},
			Year = {1994},

			Address = {Argonne, Ill.},
			Note = {To appear in {IEEE} Computational Science \& Engineering.},
			Number = {MCS--P481--1194},
			Type = {Preprint},

			Ad_tools = {ADIFOR},
			Keywords = {automatic differentiation},
			Owner = {quoctd},
			Referred = {[Bischof1996UEw], [Bischof1996HAt], [Gay1996MAo], [Park1996ADa].},
			Timestamp = {2013.08.23}
			}

			@InCollection{Bischof2000,
			Title = {Computing Derivatives of Computer Programs},
			Author = {C.~H.~Bischof and H.~M.~B{\"u}cker},
			Booktitle = {Modern Methods and Algorithms of Quantum Chemistry: Proceedings, Second Edition},
			Publisher = {NIC-Directors},
			Year = {2000},

			Address = {J{\"u}lich},
			Editor = {J. Grotendorst},
			Pages = {315--327},
			Series = {NIC Series},
			Volume = {3},

			Abstract = {Automatic differentiation is introduced as a powerful technique to compute derivatives of functions given in the form of a computer program in a high-level programming language such as Fortran, C, or C++. In contrast to traditional approaches such as handcoding of analytic expressions, numerical approximation by divided differences, or manipulation of symbolic algebraic expressions by computer algebra systems, automatic differentiation offers the following substantial benefits: it is accurate up to machine precision, efficient in terms of computational cost, applicable to a 1-line formula as well as to a 100,000-line code, and can be produced with minimal human effort.},
			Ad_theotech = {General},
			File = {Bischof2000.pdf:Bischof2000.pdf:PDF},
			Notes = {Also available as preprint ANL/MCS--P813--0400, Argonne National Laboratory, Mathematics and Computer Science Division, USA, April 2000},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.fz-juelich.de/nic-series/Volume3/bischof.pdf}
			}

			@Book{Bishop2006,
			Title = {Pattern Recognition and Machine Learning},
			Author = {Bishop, C.M.},
			Publisher = {Springer New York},
			Year = {2006},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Bishop2013,
			Title = {Model-based machine learning},
			Author = {Bishop, Christopher M},
			Journal = {Phil. Trans. Royal Soc. A},
			Year = {2013},
			Number = {1984},
			Volume = {371},

			File = {bishop2013model.pdf:bishop2013model.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {The Royal Society},
			Timestamp = {2014.11.25}
			}

			@Article{Bittanti1984,
			Title = {{S}tability analysis of linear periodic system via the {L}yapunov equation},
			Author = {S. Bittanti and P. Bolzern and P. Colaneri},
			Journal = {Proc. 9th IFAC World Congress, Budapest, Hungary},
			Year = {1984},
			Pages = {169--172},

			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InCollection{Bittanti1991,
			Title = {{T}he periodic {R}iccati {E}quation},
			Author = {S. Bittanti and P. Colaneri and G. {De Nicolao}},
			Booktitle = {The Riccati Equation},
			Publisher = {Springer Verlag},
			Year = {1991},
			Editor = {Bittanti, Laub, Willems},

			Keywords = {optimal control indirect methods},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Bjork1970,
			Title = {{S}olutions of {V}andermonde {S}ystems of {E}quations},
			Author = {Bj\:ork, A. and Pereyra, V.},
			Journal = {Math. Prog.},
			Year = {1970},
			Pages = {893--903},
			Volume = {24},

			Keywords = {computation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Blahut2004,
			Title = {Theory of remote image formation},
			Author = {Blahut, R.},
			Publisher = {Cambridge University Press},
			Year = {2004},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Blanchard2011,
			Title = {Compressed Sensing: How Sharp Is the Restricted Isometry Property?},
			Author = {J.D. Blanchard and C. Cartis and J. Tanne},
			Journal = {SIAM Rev.},
			Year = {2011},
			Number = {1},
			Pages = {105--125},
			Volume = {53},

			File = {:Papers/Blanchard2011.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@Article{Blondel2009,
			Title = {Polynomial-time computation of the joint spectral radius for some sets of nonnegative matrices},
			Author = {V.D. Blondel and Y. Nesterov},
			Journal = {SIAM J. Matrix Anal. App.},
			Year = {2009},
			Number = {3},
			Pages = {865--876},
			Volume = {31},

			File = {:Papers/Blondel2009.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Blondel1997,
			Title = {NP-hardness of some linear control design problems},
			Author = {V.D. Blondel and J.N. Tsitsiklis},
			Journal = {SIAM J. on Control, Signals and Systems},
			Year = {1997},
			Number = {21},
			Pages = {18--27},
			Volume = {35},

			File = {:Papers/Blondel1997.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.08}
			}

			@InProceedings{Blum2001,
			Title = {Learning from Labeled and Unlabeled Data Using Graph Mincuts},
			Author = {Avrim Blum and Shuchi Chawla},
			Booktitle = {Proc. Int. Conf. Mach. Learn. (ICML)},
			Year = {2001},
			Pages = {19-26},
			Publisher = {Morgan Kaufmann, San Francisco, CA},

			Citeseerurl = {citeseer.ist.psu.edu/blum01learning.html},
			File = {Statistical Learning\\blum01learning.pdf:Statistical Learning\\blum01learning.pdf:PDF},
			Owner = {BaldaZen},
			Timestamp = {2007.01.29}
			}

			@Article{Blum1994,
			Title = {From optimization and variational inequality to equilibrium problems},
			Author = {E. Blum and W. Oettli},
			Journal = {Math. Student},
			Year = {1994},
			Pages = {127--149},
			Volume = {63},

			Owner = {quoctd},
			Timestamp = {2012.11.28}
			}

			@Article{Blumensath2013,
			Title = {Compressed Sensing With Nonlinear Observations and Related Nonlinear Optimization Problems},
			Author = {Blumensath, T.},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2013},

			Month = {June},
			Number = {6},
			Pages = {3466-3474},
			Volume = {59},

			ISSN = {0018-9448},
			Owner = {jmscarlett}
			}

			@Article{Blumensath2009,
			Title = {Iterative hard thresholding for compressed sensing},
			Author = {Blumensath, T. and Davies, M.},
			Journal = {App. Comp. Harmon. Anal.},
			Year = {2009},
			Number = {3},
			Pages = {265--274},
			Volume = {27},

			Owner = {jmscarlett},
			Publisher = {Elsevier},
			Timestamp = {2014.11.25}
			}

			@Article{Blumensath2009a,
			Title = {Sampling theorems for signals from the union of finite-dimensional linear subspaces},
			Author = {Blumensath, T. and Davies, M.},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2009},
			Number = {4},
			Pages = {1872--1882},
			Volume = {55},

			Owner = {jmscarlett},
			Publisher = {IEEE},
			Timestamp = {2014.11.25}
			}

			@Article{Blumensath2008,
			Title = {Iterative thresholding for sparse approximations},
			Author = {Blumensath, Thomas and Davies, Mike E},
			Journal = {J. Fourier Anal. and Apps.},
			Year = {2008},
			Number = {5-6},
			Pages = {629--654},
			Volume = {14},

			File = {blumensath2008iterative.pdf:blumensath2008iterative.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Springer},
			Timestamp = {2014.11.25}
			}

			@Article{Bobkov1998,
			Title = {On modified logarithmic {S}obolev inequalities for {B}ernoulli and {P}oisson meausres},
			Author = {Bobkov, S. G. and Ledoux, M.},
			Journal = {J. Funct. Anal.},
			Year = {1998},
			Pages = {347--365},
			Volume = {156},

			Owner = {yhli},
			Timestamp = {2014.02.11}
			}

			@InCollection{Bock1983,
			Title = {{R}ecent advances in parameter identification techniques for {ODE}},
			Author = {Bock, H.G.},
			Booktitle = {Numerical Treatment of Inverse Problems in Differential and Integral Equations},
			Publisher = {Birk\-h\"au\-ser},
			Year = {1983},

			Address = {Boston},
			Editor = {P. Deuflhard and E. Hairer},

			File = {Bock1983.pdf:Bock1983.pdf:PDF},
			Keywords = {agbock parameter estimation multiple shooting ODE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InCollection{Bock1981,
			Title = {{N}umerical treatment of inverse problems in chemical reaction kinetics},
			Author = {H.G. Bock},
			Booktitle = {Modelling of Chemical Reaction Systems},
			Publisher = {Springer},
			Year = {1981},

			Address = {Heidelberg},
			Editor = {K.H. Ebert and P. Deufl\-hard and W. J\"ager},
			Pages = {102--125},
			Series = {Springer Series in Chemical Physics},
			Volume = {18},

			Keywords = {agbock parameter estimation multiple shooting chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Bock1987,
			Title = {{R}andwertproblemmethoden zur {P}arameteridentifizierung in {S}ystemen nichtlinearer {D}ifferentialgleichungen},
			Author = {Bock, H.G.},
			Publisher = {Universit\"at Bonn},
			Year = {1987},

			Address = {Bonn},
			Series = {Bonner Ma\-the\-ma\-tische Schriften},
			Volume = {183},

			Keywords = {agbock parameter estimation multiple shooting},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Bock1978,
			Title = {{N}umerical {S}olution of {N}onlinear {M}ultipoint {B}oundary {V}alue {P}roblems with {A}pplications to {O}ptimal {C}ontrol},
			Author = {Bock, H.G.},
			Journal = {Zeitschrift f\"ur {A}ngewandte {M}athematik und {M}echanik},
			Year = {1978},
			Pages = {407},
			Volume = {58},

			Key = {T407},
			Keywords = {agbock optimal control multiple shooting},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@MastersThesis{Bock1974,
			Title = {{N}umerische {O}ptimierung zustandsbeschr\"ankter parameterabh\"angiger {P}rozesse mit linear auftretender {S}teuerung unter {A}nwendung der {M}ehrzielmethode},
			Author = {Bock, H.G.},
			School = {Universit\"at K\"oln},
			Year = {1974},

			Keywords = {agbock parameter estimation optimal control multiple shooting},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Bock1999,
			Title = {{D}irect {M}ultiple {S}hooting {M}e\-thods for {C}ontrol and {O}ptimization of {DAE} in {C}hemical {E}ngineering},
			Author = {H.G. Bock and I. Bauer and D.B. Leineweber and J.P. Schl\"oder},
			Booktitle = {Scientific Computing in Chemical Engineering II},
			Year = {1999},

			Address = {Berlin},
			Editor = {F. Keil and W. Mackens and H. Vo\ss and J. Werther},
			Pages = {2--18},
			Publisher = {Springer},
			Volume = {2},

			Key = {ISBN 3-540-65851-3},
			Keywords = {agbock parameter estimation multiple shooting optimal control DAE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Bock2004,
			Title = {{SQP} {M}ethods with {I}nexact {J}acobians for {I}nequality {C}onstrained {O}ptimization},
			Author = {H.G. Bock and M. Diehl and E. Kostina},
			Institution = {Universit\"at Heidelberg},
			Year = {2004},

			Address = {Heidelberg},
			Number = {04-XX},
			Type = {IWR-Pre\-print},

			Keywords = {agbock SQP optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InCollection{Bock2007,
			Title = {{C}onstrained {O}ptimal {F}eedback {C}ontrol of {S}ystems {G}overned by {L}arge {D}ifferential {A}lgebraic {E}quations},
			Author = {Bock, H.G. and Diehl, M. and Kostina, E.A. and Schl\"oder, J.P.},
			Booktitle = {Real-Time and Online PDE-Constrained Optimization},
			Publisher = {{SIAM}},
			Year = {2007},
			Editor = {L. Biegler and O. Ghattas and M. Heinkenschloss and D. Keyes and B. van Bloemen Waanders},
			Pages = {3--22},

			Doi = {10.1137/1.9780898718935.ch1},
			File = {Bock2007.pdf:Bock2007.pdf:PDF},
			Keywords = {agbock optec optimal control NMPC DAE multiple shooting},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://epubs.siam.org/ebooks/siam/computational_science_and_engineering/cs03/cs03_ch1}
			}

			@InProceedings{Bock2000,
			Title = {{A} direct multiple shooting method for real-time optimization of nonlinear {DAE} processes},
			Author = {Bock, H.G. and Diehl, M. and Leineweber, D.B. and Schl\"oder, J.P.},
			Booktitle = {Nonlinear Predictive Control},
			Year = {2000},

			Address = {Basel Boston Berlin},
			Editor = {F. Allg\"ower and A. Zheng},
			Pages = {246--267},
			Publisher = {Birkh\"auser},
			Series = {Progress in Systems Theory},
			Volume = {26},

			Doi = {10.1007/978-3-0348-8407-5_14},
			Key = {ISBN 3-7643-6297-9},
			Keywords = {agbock optimal control NMPC DAE multiple shooting},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.springerlink.com/content/n4165265r2l5h6jn/}
			}

			@InProceedings{Bock1999a,
			Title = {{E}fficient direct multiple shooting in nonlinear model predictive control},
			Author = {H.G. Bock and M. Diehl and D.B. Leineweber and J.P. Schl\"oder},
			Booktitle = {Scientific Computing in Chemical Engineering II},
			Year = {1999},

			Address = {Berlin},
			Editor = {F. Keil and W. Mackens and H. Vo\ss and J. Werther},
			Pages = {218--227},
			Publisher = {Springer},
			Volume = {2},

			Key = {ISBN 3-540-65851-3},
			Keywords = {agbock optimal control NMPC DAE multiple shooting},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.springer.com/chemistry/book/978-3-540-65851-1}
			}

			@InProceedings{Bock2000a,
			Title = {{R}eal-time optimization and {N}onlinear {M}odel {P}redictive {C}ontrol of {P}rocesses governed by {D}ifferential-{A}lgebraic {E}quations},
			Author = {Bock, H.G. and Diehl, M. and Schl\"oder, J.P. and Allg\"ower, F. and Findeisen, R. and Nagy, Z.},
			Booktitle = {Int. Smp. Adv. Control Chem. Proc.},
			Year = {2000},

			Address = {Pisa},
			Pages = {695--703},
			Volume = {2},

			Keywords = {agbock optimal control NMPC DAE multiple shooting},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://books.google.be/books/about/ADCHEM_2000_International_symposium_on_a.html?id=h332pwAACAAJ&redir_esc=y}
			}

			@Article{Bock2002,
			Title = {{P}ractical {S}hape {O}ptimization for {T}urbine and {C}ompressor {B}lades by the {U}se of {PRSQP} {M}ethods},
			Author = {H.G. Bock and W. Egartner and W. Kappis and V. Schulz},
			Journal = {Optimization and Engineering},
			Year = {2002},
			Number = {4},
			Pages = {395--414},
			Volume = {3},

			Keywords = {agbock optimization DAE multiple shooting mechanics},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InCollection{Bock1988,
			Title = {{N}umerical {S}olution of {C}onstrained {L}east {S}quares {B}oundary {V}alue {P}roblems in {D}ifferential-{A}lgebraic {E}quations},
			Author = {H.G. Bock and E. Eich and J.P. Schl\"oder},
			Booktitle = {Numerical Treatment of Differential Equations},
			Publisher = {Teubner},
			Year = {1988},

			Address = {Leipzig},
			Editor = {K. Strehmel},

			Keywords = {agbock parameter estimation DAE multiple shooting},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InCollection{Bock2000b,
			Title = {{O}n the {R}ole of {N}atural {L}evel {F}unctions to {A}chieve {G}lobal {C}onvergence for {D}amped {N}ewton {M}ethods.},
			Author = {Bock, H.G. and Kostina, E.A. and Schl\"oder, J.P.},
			Booktitle = {Sys. Modelling and Opt. Methods, Theory and Apps.},
			Publisher = {Kluwer},
			Year = {2000},
			Editor = {M. Powell et al.},

			File = {Bock2000b.pdf:Bock2000b.pdf:PDF},
			Keywords = {agbock SQP optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Bock1984,
			Title = {{A} multiple shooting algorithm for direct solution of optimal control problems},
			Author = {H.G. Bock and K.J. Plitt},
			Booktitle = {Proc. World Cong. Budapest},
			Year = {1984},
			Pages = {242--247},
			Publisher = {Pergamon Press},

			File = {Bock1984.pdf:Bock1984.pdf:PDF},
			Keywords = {agbock multiple shooting optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Bock1981a,
			Title = {{N}umerical solution of retarded differential equations with state-dependent time lags},
			Author = {Bock, H.G. and Schl\"oder, J.P.},
			Journal = {{Zeitschrift f\"ur {A}ngewandte {M}athematik und {M}echanik}},
			Year = {1981},
			Pages = {269},
			Volume = {61},

			Keywords = {agbock ODE DAE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Bogdan2013,
			Title = {Statistical estimation and testing via the ordered L1 norm},
			Author = {Bogdan, Malgorzata and Berg, Ewout van den and Su, Weijie and Candes, Emmanuel},
			Journal = {arXiv preprint arXiv:1310.1969},
			Year = {2013},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Boggs1995,
			Title = {{S}equential {Q}uadratic {P}rogramming},
			Author = {P.T. Boggs and J.W. Tolle},
			Journal = {Acta Numer.},
			Year = {1995},
			Pages = {1--51},

			File = {Boggs1995.pdf:Boggs1995.pdf:PDF},
			Keywords = {SQP optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Bonilla2007,
			Title = {Kernel multi-task learning using task-specific features},
			Author = {Edwin V. Bonilla and Felix V. Agakov and Christopher K. I. Williams},
			Booktitle = {In Proceedings of the 11th International Conference on Artificial Intelligence and Statistics (AISTATS},
			Year = {2007},

			File = {:Statistical Learning/Multitask/bonilla07mtl.pdf:PDF},
			Owner = {baldazen},
			Timestamp = {2008.09.05}
			}

			@InProceedings{Bonilla2007a,
			Title = {Multi-task Gaussian Process Prediction},
			Author = {Bonilla, Edwin V. and Chai, Kian Ming and Williams, Christopher},
			Booktitle = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2007},

			Abstract = {In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features and a ``free-form'' covariance matrix over tasks. This allows for good flexibility when modelling inter-task dependencies while avoiding the need for large amounts of data for training. We show that under the assumption of noise-free observations and a block design, predictions for a given task only depend on its target values and therefore a cancellation of inter-task transfer occurs. We evaluate the benefits of our model on two practical applications: a compiler performance prediction problem and an exam score prediction task. Additionally, we make use of GP approximations and properties of our model in order to provide scalability to large data sets.},
			File = {bonilla07mtlgp.pdf:Statistical Learning/Multitask/bonilla07mtlgp.pdf:PDF},
			Keywords = {Learning/Statistics & Optimisation},
			Owner = {baldazen},
			Timestamp = {2008.07.17},
			Url = {http://eprints.pascal-network.org/archive/00003442/}
			}

			@Article{Bonilla2010,
			Title = {An automatic initialization procedure in parameter estimation problems with parameter-affine dynamic models},
			Author = {Bonilla, J. and Diehl, M. and Logist, F. and De Moor, B. and Van Impe, J.},
			Journal = {Comp. Chem. Eng.},
			Year = {2010},
			Number = {6},
			Pages = {953--964},
			Volume = {34},

			Doi = {10.1016/j.compchemeng.2009.10.020},
			File = {Bonilla2010.PDF:Bonilla2010.PDF:PDF},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/pii/S0098135409002713}
			}

			@Article{Bonnans1994,
			Title = {{L}ocal {A}nalysis of {N}ewton-{T}ype {M}ethods for {V}ariational {I}nequalities and {N}onlinear {P}rogramming},
			Author = {J.F. Bonnans},
			Journal = {App. Math. Opt.},
			Year = {1994},
			Pages = {161--186},
			Volume = {29},

			File = {Bonnans1994.pdf:Bonnans1994.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2012.04.08}
			}

			@Book{Bonnans1997,
			Title = {{N}umerical {O}ptimization: {T}heoretical and {P}ractical {A}spects},
			Author = {J.F. Bonnans and J.C. Gilbert and C. Lemarechal and C.A. Sagastizabal},
			Publisher = {Springer-Verlag},
			Year = {1997},

			Owner = {quoctd},
			Timestamp = {2014.04.08}
			}

			@Article{Bonnans2005,
			Title = {Perturbation analysis of second-order cone programming problems},
			Author = {J.F. Bonnans and C.H. Ram\'{i}rez},
			Journal = {Math. Program., Ser. B},
			Year = {2005},
			Pages = {205--227},
			Volume = {104},

			File = {:Papers/Bonnans2005.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.08}
			}

			@TechReport{Bonnans2002,
			Title = {{P}arametric optimization of hybrid car engines },
			Author = {Bonnans, J. F. and Guilbaud, T. and Ketfi-Cherif, A. and Wissel, D. von and Sagastizabal, C. and Zidani, H.},
			Institution = {INRIA/ Project SYDOCO},
			Year = {2002},
			Note = {http://www.inria.fr/rrrt/rr-4674.html},

			Keywords = {hybrid optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Bonsall1991,
			Title = {A general atomic decomposition theorem and Banach's closed range theorem},
			Author = {Bonsall, FF},
			Journal = {The Quarterly Journal of Mathematics},
			Year = {1991},
			Number = {1},
			Pages = {9--14},
			Volume = {42},

			Owner = {jmscarlett},
			Publisher = {Oxford Univ Press},
			Timestamp = {2014.11.25}
			}

			@Book{Born1999,
			Title = {Principles of optics: electromagnetic theory of propagation, interference and diffraction of light},
			Author = {Born, M. and Wolf, E.},
			Publisher = {CUP Archive},
			Year = {1999},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Borrelli2003,
			Title = {{A} {G}eometric {A}lgorithm for {M}ulti-{P}arametric {L}inear {P}rogramming},
			Author = {Borrelli, F. and A. Bemporad and M. Morari },
			Journal = {J. Opt. Theory and Apps.},
			Year = {2003},
			Number = {3},
			Pages = {515--540},
			Volume = {118},

			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Borwein2006a,
			Title = {Convex analysis and nonlinear optimization: theory and examples},
			Author = {Borwein, J. and Lewis, A.},
			Publisher = {Springer},
			Year = {2006},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Book{Bosch2000,
			Title = {{E}lementare {E}inf\"uhrung in die angewandte {S}tatistik},
			Author = {K. Bosch},
			Publisher = {Vieweg},
			Year = {2000},

			Address = {Wiesbaden},
			Edition = {7},

			Keywords = {textbook},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Bosch1999,
			Title = {{E}lementare {E}inf\"uhrung in die {W}ahrscheinlichkeitsrechnung},
			Author = {K. Bosch},
			Publisher = {Vieweg},
			Year = {1999},

			Address = {Wiesbaden},
			Edition = {7},

			Keywords = {textbook},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Bot2012,
			Title = {A primal-dual splitting algorithm for finding zeros of sums of maximally monotone operators},
			Author = {R.I. Bot and E.R. Csetnek and A. Heinrich},
			Journal = {Tech. Report.},
			Year = {2012},
			Pages = {xx},
			Volume = {xx},

			File = {:Papers/Bot2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Bot2013,
			Title = {A double smoothing technique for solving unconstrained nondifferentiable convex optimization problems},
			Author = {R.I. Bot and C. Hendrich},
			Journal = {Comp. Opt. Apps.},
			Year = {2013},
			Pages = {1--24},
			Volume = {xx},

			File = {:Papers/Bot2013.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.01.14}
			}

			@InBook{Bottou1999,
			Title = {Online learning and stochastic approximations},
			Author = {Bottou, L\'{e}on},
			Chapter = {2},
			Editor = {Saad, David},
			Pages = {9--42},
			Publisher = {Cambridge Univ. Press},
			Year = {1999},

			Address = {Cambridge, UK},

			Owner = {yhli},
			Timestamp = {2014.07.24}
			}

			@InProceedings{Bottou2010,
			Title = {Large-scale machine learning with stochastic gradient descent},
			Author = {Bottou, L\'{e}on},
			Booktitle = {Proc. COMPSTAT'2010},
			Year = {2010},
			Pages = {177--186},

			Owner = {yhli},
			Timestamp = {2014.07.23}
			}

			@InProceedings{Bottou2007,
			Title = {The tradeoffs of large scale learning},
			Author = {Bottou, L\'{e}on and Bousquet, Oliver},
			Booktitle = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2007},

			Owner = {yhli},
			Timestamp = {2014.07.23}
			}

			@Article{Boucheron2005,
			Title = {Theory of classification: A survey of some recent advances},
			Author = {Boucheron, St\'{e}phane and Bousquet, Olivier and Lugosi, G\'{a}bor},
			Journal = {ESAIM: Probab. Stat.},
			Year = {2005},

			Month = nov,
			Pages = {323--375},
			Volume = {9},

			Owner = {yhli},
			Timestamp = {2014.08.13}
			}

			@Book{Boucheron2013,
			Title = {Concentration Inequalities: A Nonasymptotic Theory of Independence},
			Author = {Boucheron, St\'{e}phane and Lugosi, G\'{a}bor and Massart, Pascal},
			Publisher = {Oxford Univ. Press},
			Year = {2013},

			Address = {Oxford},

			Owner = {yhli},
			Timestamp = {2014.02.11}
			}

			@InProceedings{Boufounos2008,
			Title = {1-Bit compressive sensing},
			Author = {Boufounos, P.T. and Baraniuk, R.G.},
			Booktitle = {Conf. on Inf. Sci. and Sys.},
			Year = {2008},
			Month = {March},

			Owner = {jmscarlett}
			}

			@InProceedings{Boufounos2007,
			Title = {Sparse signal reconstruction from noisy compressive measurements using cross validation},
			Author = {Boufounos, Petros and Duarte, Marco F. and Baraniuk, Richard G.},
			Booktitle = {IEEE/SP Workshop Stat. Sig. Proc.},
			Year = {2007},
			Pages = {299--303},

			Owner = {yhli},
			Timestamp = {2014.07.09}
			}

			@Article{Bourgain2011,
			Title = {Explicit constructions of RIP matrices and related problems},
			Author = {Bourgain, Jean and Dilworth, Stephen and Ford, Kevin and Konyagin, Sergei and Kutzarova, Denka and others},
			Journal = {Duke Mathematical Journal},
			Year = {2011},
			Number = {1},
			Pages = {145--185},
			Volume = {159},

			Owner = {jmscarlett},
			Publisher = {Duke University Press},
			Timestamp = {2014.11.25}
			}

			@TechReport{Bousquet,
			Title = {Introduction to Statistical Learning Theory},
			Author = {Bousquet and Boucheron and Lugosi},

			File = {Introduction to Statistical Learning Theory.pdf:Statistical Learning/Introduction to Statistical Learning Theory.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.26}
			}

			@PhdThesis{Bousquet2002,
			Title = {Concentration inequalities and empirical processes theory applied to the analysis of learning algorithms},
			Author = {Bousquet, Olivier},
			School = {Ecole Polytechnique},
			Year = {2002},

			Owner = {yhli},
			Timestamp = {2014.07.25}
			}

			@Article{Bousquet2002a,
			Title = {Stability and generalization},
			Author = {Bousquet, O. and Elisseeff, A.},
			Journal = {J. Mach. Learn. Res.},
			Year = {2002},
			Pages = {499--526},
			Volume = {2},

			File = {bousquet2002stability.pdf:Statistical Learning/bousquet2002stability.pdf:PDF},
			Owner = {baldassarre},
			Publisher = {MIT Press Cambridge, MA, USA},
			Timestamp = {2009.11.10}
			}

			@TechReport{Bousquet2001,
			Title = {Stability and generalization},
			Author = {O. Bousquet and A. Elisseeff},
			Institution = {Centre de Mathematiques Appliquees, Ecole Polytechnique},
			Year = {2001},

			File = {Statistical Learning\\bousquet01stability.pdf:Statistical Learning\\bousquet01stability.pdf:PDF},
			Owner = {BaldaZen},
			Timestamp = {2007.02.07},
			Url = {citeseer.ist.psu.edu/bousquet01stability.html}
			}

			@Article{Bousquet2003,
			Title = {On the Complexity of Learning the Kernel Matrix},
			Author = {Bousquet, O. and Herrmann, D. J. L.},
			Journal = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2003},

			Citeulike-article-id = {2225124},
			File = {bousquet03complexity.pdf:Statistical Learning/Kernel Learning/bousquet03complexity.pdf:PDF},
			Keywords = {kernel, transductive},
			Owner = {baldazen},
			Priority = {2},
			Publisher = {MIT Press},
			Timestamp = {2008.02.13}
			}

			@InProceedings{Boutsidis2009,
			Title = {An improved approximation algorithm for the column subset selection problem},
			Author = {Boutsidis, Christos and Mahoney, Michael W and Drineas, Petros},
			Booktitle = {Proc. ACM-SIAM Symp. Discrete Algorithms},
			Year = {2009},
			Organization = {Society for Industrial and Applied Mathematics},
			Pages = {968--977},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Book{Boyd1994,
			Title = {Linear matrix inequalities in system and control theory},
			Author = {S.P. Boyd and L.E. Ghaoui and E. Feron and V. Balakrishnan},
			Editor = {SIAM studies in applied mathematics},
			Publisher = {SIAM},
			Year = {1994},
			Volume = {14},

			Owner = {quoctd},
			Timestamp = {2012.04.08}
			}

			@Article{Boyd1993,
			Title = {Method of centers for minimizing generalized eigenvalues},
			Author = {S. Boyd and L. El Ghaoui},
			Journal = {Lin. Alg. Apps.},
			Year = {1993},
			Pages = {63--111},
			Volume = {188},

			File = {:Papers/Boyd1993.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@InProceedings{Boyd1993b,
			Title = {Solving interpolation problems via generalized eigenvalue minimization},
			Author = {S. Boyd and L. El Ghaoui},
			Booktitle = {Proc. Amer. Control Conf.},
			Year = {1993},
			Pages = {2647--2648},

			File = {:Papers/Boyd1993b.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@InProceedings{Boyd1993a,
			Title = {Linear Matrix Inequalities in System and Control Theory},
			Author = {S. Boyd and L. El Ghaoui and E. Feron and V. Balakrishnan},
			Booktitle = {Allerton Conf. on Comm., Control and Comp.},
			Year = {1993},
			Pages = {237--246},

			File = {:Papers/Boyd1993a.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@Article{Boyd2007,
			Title = {A Tutorial on Geometric Programming},
			Author = {S. Boyd and S.-J. Kim and L. Vandenberghe and A. Hassibi},
			Journal = {Optimization and Engineering},
			Year = {2007},
			Number = {1},
			Pages = {67--127},
			Volume = {8},

			File = {:Papers/Boyd2007.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@Article{Boyd2011,
			Title = {Distributed optimization and statistical learning via the alternating direction method of multipliers},
			Author = {Boyd, Stephen and Parikh, Neal and Chu, Eric and Peleato, Borja and Eckstein, Jonathan},
			Journal = {Found. Trends Mach. Learn.},
			Year = {2011},
			Number = {1},
			Pages = {1--122},
			Volume = {3},

			Owner = {yhli},
			Timestamp = {2014.11.06}
			}

			@Book{Boyd2004,
			Title = {{C}onvex {O}ptimization},
			Author = {S. Boyd and L. Vandenberghe},
			Publisher = {University {P}ress},
			Year = {2004},

			Address = {Cambridge},

			File = {Boyd2004.pdf:Boyd2004.pdf:PDF},
			Keywords = {optimization, OPTEC-library},
			Owner = {quoctd},
			Timestamp = {2009.10.28}
			}

			@Book{Boyd2004a,
			Title = {Convex optimization},
			Author = {Boyd, S.P. and Vandenberghe, L.},
			Publisher = {Cambridge University Press},
			Year = {2004},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Boyd2005,
			Title = {Least squares covariance matrix adjustment},
			Author = {S. Boyd and L. Xiao},
			Journal = {SIAM J. Matrix Anal. App.},
			Year = {2005},
			Number = {2},
			Pages = {532--546},
			Volume = {27},

			File = {:Papers/Boyd2005.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.11.16}
			}

			@TechReport{Boyd2003,
			Title = {Subgradient methods},
			Author = {S. Boyd and L. Xiao and A. Mutapcic},
			Institution = {Stanford university},
			Year = {2003},
			Number = {EE392o},
			Type = {Tech. Report.},

			File = {:Papers/Boyd2003.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.01.10}
			}

			@InCollection{Boyle1986,
			Title = {A method for finding projections onto the intersection of convex sets in Hilbert spaces},
			Author = {Boyle, J. and Dykstra, R.},
			Booktitle = {Advances in order restricted statistical inference},
			Publisher = {Springer},
			Year = {1986},
			Pages = {28--47},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@InProceedings{Boyle2005,
			Title = {Dependent Gaussian processes},
			Author = {Boyle, Phillip and Frean, Marcus},
			Booktitle = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2005},
			Pages = {217--224},
			Publisher = {MIT Press},

			Abstract = {Gaussian processes are usually parameterised in terms of their covariance functions. However, this makes it difficult to deal with multiple outputs, because ensuring that the covariance matrix is positive definite is problematic. An alternative formulation is to treat Gaussian processes as white noise sources convolved with smoothing kernels, and to parameterise the kernel instead. Using this, we extend Gaussian processes to handle multiple, coupled outputs},
			Citeulike-article-id = {3386079},
			File = {:Statistical Learning/Multitask/boyle05dependentgp.pdf:PDF},
			Keywords = {file-import-08-10-08},
			Owner = {baldazen},
			Posted-at = {2008-10-08 13:36:50},
			Priority = {2},
			Timestamp = {2009.01.28},
			Url = {http://books.nips.cc/papers/files/nips17/NIPS2004\_0225.pdf}
			}

			@TechReport{Boyle2005a,
			Title = {Multiple output gaussian process regression},
			Author = {P K Boyle and Dr Marcus Frean},
			Year = {2005},

			File = {:D\:\\BALDAZEN DOCS\\Scienza\\Statistical Learning\\Multitask\\boyle05multipleoutputgp.pdf:PDF},
			Owner = {Luca},
			Pages = {1 - 13},
			Timestamp = {2009.02.02}
			}

			@TechReport{Brandt-Pollmann2003,
			Title = {{N}icht-\protect{Standard} \protect{Probleme} der optimalen \protect{Steuerung} in \protect{Chemie} und \protect{Biotechnologie}},
			Author = {Brandt-Pollmann, U.},
			Institution = {DECHEMA Jahrestagung der Biotechnologen},
			Year = {2003},

			Address = {M\"unchen},
			Month = {April},

			Keywords = {agbock optimal control biology chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Brandt-Pollmann2002,
			Title = {{O}ptimization of discontinuous dynamical models},
			Author = {Brandt-Pollmann, U.},
			Institution = {First International Conference on Optimization and Software},
			Year = {2002},

			Address = {Hangzhou, China},
			Month = {December},

			Keywords = {agbock optimal control DAE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Brandt-Pollmann2005,
			Title = {{R}eal-time nonlinear feedback control of pattern formation in (bio)chemical reaction--diffusion processes: {A} model study},
			Author = {Brandt-Pollmann, U. and Lebiedz, D. and Diehl, M. and Sager, S. and Schl\"oder, J.P.},
			Journal = {Chaos},
			Year = {2005},
			Note = {selected for online-publication in Virtual Journal of Biological Physics Research, July 15, 2005},
			Pages = {033901},
			Volume = {15},

			File = {Brandt-Pollmann2005a.pdf:Brandt-Pollmann2005a.pdf:PDF},
			Keywords = {agbock optimal control biology},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://chaos.aip.org/resource/1/chaoeh/v15/i3/p033901_s1}
			}

			@Article{Bregman1967,
			Title = {The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming},
			Author = {Bregman, L.},
			Journal = {USSR computational mathematics and mathematical physics},
			Year = {1967},
			Number = {3},
			Pages = {200--217},
			Volume = {7},

			Owner = {jmscarlett},
			Publisher = {Elsevier},
			Timestamp = {2014.11.25}
			}

			@Article{Breiman2001,
			Title = {Statistical Modeling: The Two Cultures},
			Author = {Breiman, L.},
			Journal = {Statistical Science},
			Year = {2001},
			Pages = {199-231},
			Volume = {16},

			File = {breiman2001statistical.pdf:Statistics\\breiman2001statistical.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Breiman1997,
			Title = {Predicting Multivariate Responses in Multiple Linear Regression},
			Author = {Breiman, Leo and Friedman, Jerome H.},
			Journal = {J. Royal Stat. Soc.},
			Year = {1997},
			Number = {1},
			Pages = {3-54},
			Volume = {59},

			File = {Breiman97Predicting.pdf:/home/baldazen/Desktop/Scienza/Statistical Learning/Vector-valued/Breiman97Predicting.pdf:PDF},
			Keywords = {curds, whey, multiple responses, regression},
			Owner = {baldazen},
			Timestamp = {2008.02.04}
			}

			@Book{Brenan1996,
			Title = {{N}umerical solution of initial-value problems in differential-algebraic equations},
			Author = {Brenan, K.E. and Campbell, S.L. and Petzold, L.R.},
			Publisher = {{SIAM}},
			Year = {1996},

			Address = {Philadelphia},
			Note = {Classics in Applied Mathematics 14},

			Keywords = {DAE},
			Owner = {quoctd},
			Timestamp = {2012.11.25}
			}

			@Article{Brezis1970,
			Title = {Semigroups of nonlinear contractions on convex sets},
			Author = {Brezis, H. and Pazy, A.},
			Journal = {J. Funct. Anal.},
			Year = {1970},
			Pages = {237--281},
			Volume = {6},

			Owner = {yhli},
			Timestamp = {2014.04.24}
			}

			@Article{Briceno-Arias2011,
			Title = {A monotone + skew splitting model for composite monotone inclusions in duality},
			Author = {L.M. Briceno-Arias and P.L. Combettes},
			Journal = {SIAM J. Opt.},
			Year = {2011},
			Number = {4},
			Pages = {1230--1250},
			Volume = {21},

			File = {:Papers/BricenoArias2011.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.01.02}
			}

			@TechReport{Brin,
			Title = {The Anatomy of a Large-Scale Hypertextual
			Web Search Engine},
			Author = {Brin and Page},
			Institution = {Stanford University, Computer Science Department},

			File = {brin98anatomy.pdf:Statistical Learning/brin98anatomy.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.26}
			}

			@TechReport{Brina,
			Title = {The PageRank Citation Ranking:
			Bringing Order to the Web},
			Author = {Brin and Page},

			File = {PageRank98.pdf:Statistical Learning/PageRank98.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.26}
			}

			@Book{Bronstein2000,
			Title = {{T}aschenbuch der {M}athematik},
			Author = {Ilja N. Bronstein and Konstantin A. Semendjajew and Gerhard Musiol and Heiner M\"uhlig},
			Publisher = {Harri Deutsch Verlag},
			Year = {2000},

			Address = {Frankfurt},

			Keywords = {textbook miscellaneous},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Broyden1967,
			Title = {{Q}uasi-{N}ewton methods and their application to function minimization},
			Author = {Broyden, C. G.},
			Journal = {Math. Comp.},
			Year = {1967},
			Pages = {368--381},
			Volume = {21},

			File = {Broyden1967.pdf:Broyden1967.pdf:PDF},
			Keywords = {optimization SQP},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Bruckstein2009,
			Title = {From sparse solutions of systems of equations to sparse modeling of signals and images},
			Author = {Bruckstein, A.M. and Donoho, D.L. and Elad, M.},
			Journal = {SIAM Rev.},
			Year = {2009},
			Number = {1},
			Pages = {34--81},
			Volume = {51},

			File = {bruckstein2009sparse.pdf:Statistical Learning\\SPARSITY\\bruckstein2009sparse.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Citeseer},
			Timestamp = {2014.11.25}
			}

			@InProceedings{Brudnak2006,
			Title = {Vector-Valued Support Vector Regression},
			Author = {Brudnak, M.},
			Booktitle = {International Joint Conference on Neural Networks, 2006. IJCNN '06. },
			Year = {2006},
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			File = {chen2011smoothing.pdf:Statistical Learning\\SPARSITY\\chen2011smoothing.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@InProceedings{Chen2009,
			Title = {Accelerated Gradient Method for Multi-task Sparse Learning Problem},
			Author = {Xi Chen and Weike Pan and Kwok, J.T. and Carbonell, J.G.},
			Booktitle = {Data Mining, 2009. ICDM '09. Ninth IEEE International Conference on},
			Year = {2009},
			Month = {dec.},
			Pages = {746 -751},

			Doi = {10.1109/ICDM.2009.128},
			ISSN = {1550-4786},
			Keywords = {L-1-infinity regularized optimization problem;Nesterov method;accelerated gradient method;bioinformatics;computer vision;feature selection problem;first order black-box method;multitask sparse learning problem;optimal first order black-box method;text classification;gradient methods;learning (artificial intelligence);},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Chen2012b,
			Title = {Sparse solutions to random standard quadratic optimization problems},
			Author = {X. Chen and J. Peng and S. Zhang},
			Journal = {Math. Program.},
			Year = {2012},
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			Volume = {xx},

			File = {:Papers/Chen2012a.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.01.14}
			}

			@Article{Chen2013,
			Title = {Bregman operator splitting with variable stepsize for total variation image reconstruction},
			Author = {Y. Chen and W. Hager and M. Yashtini and X. Ye and H. Zhang},
			Journal = {Comp. Opt. Apps.},
			Year = {2013},
			Pages = {1--26},
			Volume = {xx},

			File = {:Papers/Chen2013.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.01.14}
			}

			@Article{Chen2013a,
			Title = {Optimal primal-dual methods for a class of saddle-point problems},
			Author = {Y. Chen and G. Lan and Y. Ouyang},
			Journal = {Tech. Report.},
			Year = {2013},
			Pages = {1--25},
			Volume = {xx},

			Owner = {quoctd},
			Timestamp = {2013.07.03}
			}

			@Article{Chen2013b,
			Title = {Speech Enhancement By Sparse, Low-Rank, And Dictionary Spectrogram Decomposition},
			Author = {Chen, Z. and and Ellis, D.},
			Journal = {IEEE Workshop Apps. SIg. Proc. Audio and Acoustics},
			Year = {2013},

			File = {chen2013speech.pdf:chen2013speech.pdf:PDF},
			Owner = {baldassarre},
			Timestamp = {2013.10.22}
			}

			@Article{Chen1995a,
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			Affiliation = {Wuhan University Department of Mathematics 430072 Wuhan Hebei P. R. C. 430072 Wuhan Hebei P. R. C.},
			File = {Chen1995a.pdf:Chen1995a.pdf:PDF},
			ISSN = {0010-485X},
			Issue = {2},
			Keyword = {Computer Science},
			Keywords = {distributed optimization},
			Owner = {quoctd},
			Publisher = {Springer Wien},
			Timestamp = {2013.08.23},
			Url = {http://dx.doi.org/10.1007/BF02238097}
			}

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			Owner = {yhli},
			Timestamp = {2014.09.23},
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			ISSN = {1053-587X},
			Owner = {jmscarlett}
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			@Book{Chidume2009,
			Title = {Geometric properties of {B}anach spaces and nonlinear iterations},
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			Address = {London},

			Owner = {yhli},
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			@Book{Chiles1999,
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			Address = {New York},

			Owner = {baldazen},
			Pages = {69},
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			}

			@Article{Choi1999,
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			Keywords = {NMPC optimal control},
			Owner = {quoctd},
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			}

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			Keywords = {NMPC optimal control},
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			}

			@Book{Choset2005,
			Title = {Principles of Robot Motion: Theory, Algorithms and Implementation},
			Author = {H. Choset and W. Burgard and S. Hutchinson and G. Kantor and L.E. Kavraki and K. Lynch and S. Thrun},
			Publisher = {MIT Press},
			Year = {2005},

			Owner = {quoctd},
			Timestamp = {2012.04.08}
			}

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			Owner = {quoctd},
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			Title = {{O}ptimal control of {B}inary {B}atch {D}istillation with {R}ecycled {W}aste {C}ut},
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			Keywords = {optimal control chemistry},
			Owner = {quoctd},
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			}

			@Article{Christofides2012,
			Title = {Distributed model predictive control: {A} tutorial review and future research directions},
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			Year = {2012},
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			Owner = {quoctd},
			Timestamp = {2013.08.30}
			}

			@Book{Cioranescu1990,
			Title = {Geometry of {B}anach spaces, duality mappings and nonlinear problems},
			Author = {Cioranescu, Ioana},
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			Address = {Dordrecht},

			Owner = {yhli},
			Timestamp = {2014.04.24}
			}

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			Title = {Ranking and empirical minimization of {U}-statistics},
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			Volume = {36},

			Owner = {yhli},
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			}

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			Volume = {AC-23},

			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Article{Cohen2008,
			Title = {The Generalized Maximum Coverage Problem },
			Author = {Reuven Cohen and Liran Katzir},
			Journal = {Information Processing Letters },
			Year = {2008},
			Number = {1},
			Pages = {15 - 22},
			Volume = {108},

			Doi = {http://dx.doi.org/10.1016/j.ipl.2008.03.017},
			File = {:cohen2008generalized.pdf:PDF},
			ISSN = {0020-0190},
			Keywords = {Maximum coverage},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25},
			Url = {http://www.sciencedirect.com/science/article/pii/S0020019008000896}
			}

			@Article{Cohen2007,
			Title = {Feature Selection via Coalitional Game Theory},
			Author = {Cohen, Shay and Dror, Gideon and Ruppin, Eytan},
			Journal = {Neural Comp.},
			Year = {2007},
			Number = {7},
			Pages = {1939-1961},
			Volume = {19},

			Abstract = {We present and study the contribution-selection algorithm (CSA), a novel algorithm for feature selection. The algorithm is based on the multiperturbation shapley analysis (MSA), a framework that relies on game theory to estimate usefulness. The algorithm iteratively estimates the usefulness of features and selects them accordingly, using either forward selection or backward elimination. It can optimize various performance measures over unseen data such as accuracy, balanced error rate, and area under receiver-operator-characteristic curve. Empirical comparison with several other existing feature selection methods shows that the backward elimination variant of CSA leads to the most accurate classification results on an array of data sets.},
			Eprint = {http://neco.mitpress.org/cgi/reprint/19/7/1939.pdf},
			File = {cohen07feature.pdf:Statistical Learning\\SPARSITY\\cohen07feature.pdf:PDF},
			Owner = {baldazen},
			Timestamp = {2008.04.04},
			Url = {http://neco.mitpress.org/cgi/content/abstract/19/7/1939}
			}

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			File = {CoifmanLafon06 Diffusion Maps.pdf:Statistical Learning/CoifmanLafon06 Diffusion Maps.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.26}
			}

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			Volume = {21},

			File = {CoifmanMaggioni06Diffusion wavelets.pdf:Statistical Learning/CoifmanMaggioni06Diffusion wavelets.pdf:PDF},
			Owner = {luca},
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			}

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			Title = {Geometric harmonics: A novel tool for multiscale out-of-sample extension of empirical functions},
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			File = {CoifmanLafon06GeometricHarmonics.pdf:Statistical Learning/Manifold/CoifmanLafon06GeometricHarmonics.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.03.12}
			}

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			Keywords = {optimization},
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			Keywords = {computational},
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			}

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			Timestamp = {2013.08.23}
			}

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			Title = {Solving monotone inclusions via compositions of nonexpansive averaged operators},
			Author = {P. Combettes},
			Journal = {Optimization},
			Year = {2004},
			Number = {5--6},
			Pages = {475--504},
			Volume = {53},

			File = {:Papers/Combettes2004.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.15}
			}

			@Article{Combettes2010,
			Title = {Dualization of signal recovery problems},
			Author = {Combettes, P.L. and D{\~u}ng, {\DJ}. and V{\~u}, B.C.},
			Journal = {Set-Valued and Variational Analysis},
			Year = {2010},
			Pages = {1--32},

			File = {combettes2010dualization.pdf:Optimization\\combettes2010dualization.pdf:PDF;:/Users/baldassarre/Dropbox/Scienza/Optimization/combettes2010dualization.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Springer},
			Timestamp = {2014.11.25}
			}

			@InBook{Combettes2011,
			Title = {{F}ixed-{P}oint {A}lgorithms for {I}nverse {P}roblems in {S}cience and {E}ngineering},
			Author = {P. Combettes and J.-C. Pesquet},
			Chapter = {{P}roximal {S}plitting {M}ethods in {S}ignal {P}rocessing},
			Editor = {H. H. Bauschke and R. S. Burachik and P. L. Combettes and V. Elser and D. R. Luke and H. Wolkowicz},
			Pages = {185--212},
			Publisher = {Springer-Velarg},
			Year = {2011},

			Owner = {quoctd},
			Timestamp = {2014.09.29}
			}

			@Article{Combettes2011b,
			Title = {Proximity for sums of composite functions},
			Author = {Patrick L. Combettes and Dinh Dung and Bang Cong Vu},
			Journal = {J. Math. Anal. Apps.},
			Year = {2011},
			Number = {2},
			Pages = {680 - 688},
			Volume = {380},

			Doi = {10.1016/j.jmaa.2011.02.079},
			File = {combettes2011proximity.pdf:Optimization\\combettes2011proximity.pdf:PDF},
			ISSN = {0022-247X},
			Keywords = {Best approximation, Convex optimization, Duality, Image recovery, Proximity operator, Proximal splitting algorithm, Elastic net},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25},
			Url = {http://www.sciencedirect.com/science/article/pii/S0022247X11002137}
			}

			@InCollection{Combettes2011a,
			Title = {Proximal Splitting Methods in Signal Processing},
			Author = {Combettes, Patrick L. and Pesquet, Jean-Christophe},
			Booktitle = {Fixed-Point Algorithms for Inverse Problems in Science and Engineering},
			Publisher = {Springer New York},
			Year = {2011},
			Editor = {Bauschke, Heinz H. and Burachik, Regina S. and Combettes, Patrick L. and Elser, Veit and Luke, D. Russell and Wolkowicz, Henry},
			Note = {10.1007/978-1-4419-9569-8_10},
			Pages = {185-212},
			Series = {Springer Optimization and Its Applications},
			Volume = {49},

			Affiliation = {Laboratoire Jacques-Louis Lions – UMR CNRS 7598, UPMC Université Paris 06, 75005 Paris, France},
			File = {combettes2011proximal.pdf:Optimization\\combettes2011proximal.pdf:PDF},
			ISBN = {978-1-4419-9569-8},
			Keyword = {Mathematics and Statistics},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25},
			Url = {http://dx.doi.org/10.1007/978-1-4419-9569-8_10}
			}

			@Article{Combettes2008,
			Title = {A proximal decomposition method for solving convex variational inverse problems},
			Author = {P. L. Combettes and J.-C. Pesquet},
			Journal = {Inverse Problems},
			Year = {2008},
			Number = {6},
			Pages = {065014},
			Volume = {24},

			File = {:Papers/Combettes2008.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.01.02}
			}

			@Article{Combettes2007,
			Title = {A Douglas--Rachford splitting approach to nonsmooth convex variational signal recovery},
			Author = {Combettes, Patrick L and Pesquet, J-C},
			Journal = {IEEE J. Sel. Topics Sig. Proc.},
			Year = {2007},
			Number = {4},
			Pages = {564--574},
			Volume = {1},

			File = {combettes2007douglasrachford.pdf:Optimization/combettes2007douglasrachford.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {IEEE},
			Timestamp = {2014.11.25}
			}

			@Article{Combettes2014,
			Title = {Variable metric forward-backward splitting with applications to monotone inclusions in duality},
			Author = {P. L. Combettes and B. C. Vu},
			Journal = {Optimization},
			Year = {2014},
			Number = {9},
			Pages = {1289--1318},
			Volume = {63},

			Owner = {quoctd},
			Timestamp = {2014.07.31}
			}

			@Article{Combettes2005,
			Title = {Signal recovery by proximal forward-backward splitting},
			Author = {P. L. Combettes and V. R. Wajs},
			Journal = {Multiscale Model. Simul.},
			Year = {2005},
			Pages = {1168--1200},
			Volume = {4},

			Owner = {quoctd},
			Timestamp = {2013.07.17}
			}

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			Pages = {581-600},
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			File = {cominetti1997coupling.pdf:Optimization\\cominetti1997coupling.pdf:PDF},
			ISSN = {0022-3239},
			Issue = {3},
			Keyword = {Mathematics and Statistics},
			Owner = {jmscarlett},
			Publisher = {Springer Netherlands},
			Timestamp = {2014.11.25},
			Url = {http://dx.doi.org/10.1023/A:1022621905645}
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			Publisher = {SIAM},
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			Journal = {J. Opt. Theory and Apps.},
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			Pages = {460--479},
			Volume = {158},

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			@Article{Conforti1995,
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			Keywords = {distributed optimization},
			Owner = {quoctd},
			Publisher = {Springer Netherlands},
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			@Article{Cong2012,
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			@Article{Congalidis1989,
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			@Article{Conn1991,
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			Volume = {28},

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			@Book{Connejo2006,
			Title = {{D}ecomposition {T}echniques in {M}athematical {P}rogramming: {E}ngineering and {S}cience {A}pplications},
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			Publisher = {Springer-Verlag},
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			@Article{Consortium2009,
			Title = {The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line.},
			Author = {F. A. N. T. O. M. Consortium and Harukazu Suzuki and Alistair R R Forrest and Erik van Nimwegen and Carsten O Daub and Piotr J Balwierz and Katharine M Irvine and Timo Lassmann and Timothy Ravasi and Yuki Hasegawa and Michiel J L de Hoon and Shintaro Katayama and Kate Schroder and Piero Carninci and Yasuhiro Tomaru and Mutsumi Kanamori-Katayama and Atsutaka Kubosaki and Altuna Akalin and Yoshinari Ando and Erik Arner and Maki Asada and Hiroshi Asahara and Timothy Bailey and Vladimir B Bajic and Denis Bauer and Anthony G Beckhouse and Nicolas Bertin and Johan Björkegren and Frank Brombacher and Erika Bulger and Alistair M Chalk and Joe Chiba and Nicole Cloonan and Adam Dawe and Josee Dostie and Pär G Engström and Magbubah Essack and Geoffrey J Faulkner and J. Lynn Fink and David Fredman and Ko Fujimori and Masaaki Furuno and Takashi Gojobori and Julian Gough and Sean M Grimmond and Mika Gustafsson and Megumi Hashimoto and Takehiro Hashimoto and Mariko Hatakeyama and Susanne Heinzel and Winston Hide and Oliver Hofmann and Michael Hörnquist and Lukasz Huminiecki and Kazuho Ikeo and Naoko Imamoto and Satoshi Inoue and Yusuke Inoue and Ryoko Ishihara and Takao Iwayanagi and Anders Jacobsen and Mandeep Kaur and Hideya Kawaji and Markus C Kerr and Ryuichiro Kimura and Syuhei Kimura and Yasumasa Kimura and Hiroaki Kitano and Hisashi Koga and Toshio Kojima and Shinji Kondo and Takeshi Konno and Anders Krogh and Adele Kruger and Ajit Kumar and Boris Lenhard and Andreas Lennartsson and Morten Lindow and Marina Lizio and Cameron Macpherson and Norihiro Maeda and Christopher A Maher and Monique Maqungo and Jessica Mar and Nicholas A Matigian and Hideo Matsuda and John S Mattick and Stuart Meier and Sei Miyamoto and Etsuko Miyamoto-Sato and Kazuhiko Nakabayashi and Yutaka Nakachi and Mika Nakano and Sanne Nygaard and Toshitsugu Okayama and Yasushi Okazaki and Haruka Okuda-Yabukami and Valerio Orlando and Jun Otomo and Mikhail Pachkov and Nikolai Petrovsky and Charles Plessy and John Quackenbush and Aleksandar Radovanovic and Michael Rehli and Rintaro Saito and Albin Sandelin and Sebastian Schmeier and Christian Schönbach and Ariel S Schwartz and Colin A Semple and Miho Sera and Jessica Severin and Katsuhiko Shirahige and Cas Simons and George St Laurent and Masanori Suzuki and Takahiro Suzuki and Matthew J Sweet and Ryan J Taft and Shizu Takeda and Yoichi Takenaka and Kai Tan and Martin S Taylor and Rohan D Teasdale and Jesper Tegnér and Sarah Teichmann and Eivind Valen and Claes Wahlestedt and Kazunori Waki and Andrew Waterhouse and Christine A Wells and Ole Winther and Linda Wu and Kazumi Yamaguchi and Hiroshi Yanagawa and Jun Yasuda and Mihaela Zavolan and David A Hume and Riken Omics Science Center and Takahiro Arakawa and Shiro Fukuda and Kengo Imamura and Chikatoshi Kai and Ai Kaiho and Tsugumi Kawashima and Chika Kawazu and Yayoi Kitazume and Miki Kojima and Hisashi Miura and Kayoko Murakami and Mitsuyoshi Murata and Noriko Ninomiya and Hiromi Nishiyori and Shohei Noma and Chihiro Ogawa and Takuma Sano and Christophe Simon and Michihira Tagami and Yukari Takahashi and Jun Kawai and Yoshihide Hayashizaki},
			Journal = {Nat Genet},
			Year = {2009},

			Month = {May},
			Number = {5},
			Pages = {553--562},
			Volume = {41},

			Abstract = {Using deep sequencing (deepCAGE), the FANTOM4 study measured the genome-wide dynamics of transcription-start-site usage in the human monocytic cell line THP-1 throughout a time course of growth arrest and differentiation. Modeling the expression dynamics in terms of predicted cis-regulatory sites, we identified the key transcription regulators, their time-dependent activities and target genes. Systematic siRNA knockdown of 52 transcription factors confirmed the roles of individual factors in the regulatory network. Our results indicate that cellular states are constrained by complex networks involving both positive and negative regulatory interactions among substantial numbers of transcription factors and that no single transcription factor is both necessary and sufficient to drive the differentiation process.},
			Doi = {10.1038/ng.375},
			File = {:BIO/fantom09transnet.pdf:PDF},
			Institution = {RIKEN Omics Science Center, RIKEN Yokohama Institute, Kanagawa, Japan.},
			Owner = {baldassarre},
			Pii = {ng.375},
			Pmid = {19377474},
			Timestamp = {2009.05.11},
			Url = {http://dx.doi.org/10.1038/ng.375}
			}

			@InProceedings{Conte2012,
			Title = {{Computational Aspects of Distributed Optimization in Model Predictive Control}},
			Author = {C. Conte and T.H. Summers and M.N. Zeilinger and M. Morari and C.N. Jones},
			Booktitle = {Conference on Decision and Control (CDC)},
			Year = {2012},

			Address = {Maui, HI, USA},
			Month = dec,

			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=4192}
			}

			@InCollection{Cook1984,
			Title = {A polynomial-time test for total dual integrality in fixed dimension},
			Author = {Cook, William and Lov{\'a}sz, L{\'a}szl{\'o} and Schrijver, Alexander},
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			__markedentry = {[Marwa:]},
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			Timestamp = {2014.12.13}
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			Timestamp = {2014.08.25}
			}

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			Title = {Introduction To Algorithms},
			Author = {Cormen, T.H. and Leiserson, C.E. and Rivest, R.L. and Stein, C.},
			Publisher = {MIT Press},
			Year = {2001},

			Bdsk-url-1 = {http://books.google.ch/books?id=NLngYyWFl%5C_YC},
			ISBN = {9780262032933},
			Lccn = {00103127},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25},
			Url = {http://books.google.ch/books?id=NLngYyWFl\_YC}
			}

			@Book{Cormen2001,
			Title = {Introduction to algorithms},
			Author = {Cormen, T. and Leiserson, C. and Rivest, R. and Stein, C. and others},
			Publisher = {MIT press Cambridge},
			Year = {2001},
			Volume = {2},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

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			Title = {A global algorithm for nonlinear semidefinite programming},
			Author = {R. Correa and H. Ramirez C},
			Journal = {SIAM J. Opt.},
			Year = {2004},
			Number = {1},
			Pages = {303--318.},
			Volume = {15},

			Owner = {quoctd},
			Timestamp = {2012.04.07}
			}

			@TechReport{Correa2002,
			Title = {{A} {G}lobal {A}lgorithm for {N}onlinear {S}emidefinite {P}rogramming},
			Author = {Correa, R. and Ramirez C., H.},
			Institution = {INRIA-Rocquencourt},
			Year = {2002},
			Number = {RR-4672},

			Keywords = {global optimization semidefinite},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Cortes2009,
			Title = {Learning non-linear combinations of kernels},
			Author = {Cortes, C. and Mohri, M. and Rostamizadeh, A.},
			Journal = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2009},
			Pages = {396--404},
			Volume = {22},

			File = {cortes2009learning.pdf:Statistical Learning\\Kernel Learning\\cortes2009learning.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Book{Cover2001,
			Title = {Elements of Information Theory},
			Author = {Thomas M Cover and Joy A Thomas},
			Publisher = {John Wiley \& Sons, Inc.},
			Year = {2001},

			Booktitle = {Elements of Information Theory},
			ISBN = {9780471200611},
			Owner = {jmscarlett}
			}

			@Book{Cox1996,
			Title = {{I}deals, {V}arieties, and {A}lgorithms : {A}n {I}ntroduction to {C}omputational {A}lgebraic {G}eometry and {C}ommutative {A}lgebra},
			Author = {Cox, D.A. and Little, J. and O'Shea, D.},
			Publisher = {Springer},
			Year = {1996},

			Address = {Telos},

			ISBN = {0387946802},
			Keywords = {miscellaneous},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Crammer2001,
			Title = {On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines},
			Author = {Koby Crammer and Yoram Singer},
			Journal = {J. Mach. Learn. Res.},
			Year = {2001},
			Pages = {265-292},
			Volume = {2},

			File = {crammer01algorithmic.pdf:Statistical Learning/Multiclass/crammer01algorithmic.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.03.12}
			}

			@InProceedings{Crammer2000,
			Title = {On the Learnability and Design of Output Codes for Multiclass Problems},
			Author = {Koby Crammer and Yoram Singer},
			Booktitle = {Computational Learing Theory},
			Year = {2000},
			Pages = {35-46},

			File = {crammer00learnability.pdf:/home/baldazen/Desktop/Scienza/Statistical Learning/Multiclass/crammer00learnability.pdf:PDF},
			Owner = {baldazen},
			Timestamp = {2007.11.13},
			Url = {citeseer.ist.psu.edu/crammer00learnability.html}
			}

			@Book{Cremer1979,
			Title = {{C}armina {M}athematica und andere poetische {J}ugends\"unden},
			Author = {H. Cremer},
			Publisher = {Verlag J.A. Mayer},
			Year = {1979},

			Address = {Aachen},
			Edition = {6},

			Keywords = {miscellaneous},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Cristianini2000,
			Title = {An introduction to support Vector Machines: and other kernel-based learning methods},
			Author = {Cristianini, N. and Shawe-Taylor, J.},
			Publisher = {Cambridge University Press},
			Year = {2000},

			Owner = {baldassarre},
			Timestamp = {2009.10.21}
			}

			@Article{Crouse1998,
			Title = {Wavelet-based statistical signal processing using hidden Markov models},
			Author = {Crouse, M. and Nowak, R. and Baraniuk, R.},
			Journal = {IEEE Trans. Sig. Proc.},
			Year = {1998},
			Number = {4},
			Pages = {886--902},
			Volume = {46},

			File = {crouse1998wavelet.pdf:crouse1998wavelet.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {IEEE},
			Timestamp = {2014.11.25}
			}

			@Article{Crouzeix1984,
			Title = {{T}he convergence of variable-stepsize, variable-formula, multistep methods},
			Author = {Crouzeix, M. and Lisbona, F.J.},
			Journal = {{SIAM} J. Numer. Anal.},
			Year = {1984},
			Number = {3},
			Pages = {512--534},
			Volume = {21},

			Keywords = {ODE DAE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Cruse2002,
			Title = {{O}ptimizing {A}daptive {C}alorimetric {M}odel {P}redictive {C}ontrol of a {B}enchmark {S}emi-{B}atch {R}eaction {P}rocess},
			Author = {A. Cruse and M. Marquardt and A. Helbig and J.-S. Kussi},
			Booktitle = {Proc. IFAC World Cong. Aut. Control},
			Year = {2002},

			Keywords = {NMPC optimal control chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Cryer1972,
			Title = {{O}n the instability of high order backward-difference multistep methods},
			Author = {Cryer, C.W.},
			Journal = {BIT},
			Year = {1972},
			Pages = {17--25},
			Volume = {12},

			Keywords = {ODE DAE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Csurka2004,
			Title = {Visual Categorization with Bag of Keypoints},
			Author = {Csurka, G. and Dance, C.R. and Fan, L. and Bray, C.},
			Booktitle = {Workshop on Statistical Learning in Computer Vision, ECCV},
			Year = {2004},
			Organization = {Citeseer},
			Pages = {22},
			Volume = {1},

			Owner = {baldassarre},
			Timestamp = {2010.01.29}
			}

			@Article{Cucker2002,
			Title = {Best Choices for Regularization Parameters in Learning Theory: On the Bias-Variance Problem},
			Author = {Cucker and Smale},
			Journal = {Found. Comp. Math.},
			Year = {2002},
			Pages = {413-428},
			Volume = {4},

			File = {Statistical Learning\\CuckerSmale02BestChoices.pdf:Statistical Learning\\CuckerSmale02BestChoices.pdf:PDF},
			Owner = {BaldaZen},
			Timestamp = {2007.02.07}
			}

			@Article{Cucker2001,
			Title = {On The Mathematical Foundations Of Learning},
			Author = {Felipe Cucker and Steve Smale},
			Journal = {Bull. Amer. Math. Soc},
			Year = {2001},
			Pages = {1-49},
			Volume = {39},

			File = {CuckerSmale01Foundations.pdf:Statistical Learning/CuckerSmale01Foundations.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.02.07}
			}

			@Article{Curtis1974,
			Title = {{O}n the estimation of sparse {J}acobian matrices},
			Author = {Curtis, A.R. and Powell, M.J.D. and Reid, J.K.},
			Journal = {J. Inst. Math. Apps.},
			Year = {1974},
			Pages = {117--119},
			Volume = {13},

			Keywords = {computational},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Cuthrell1989,
			Title = {{S}imultaneous optimization and solution me\-thods for batch reactor profiles},
			Author = {Cuthrell, J.E. and Biegler, L.T.},
			Journal = {Comp. Chem. Eng.},
			Year = {1989},
			Number = {1/2},
			Pages = {49--62},
			Volume = { 13},

			Keywords = {optimal control chemistry collocation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Cutkosky1989,
			Title = {On grasp choice, grasp models and the design of hands for manufacturing tasks},
			Author = {Cutkosky, M.},
			Journal = {IEEE Trans. Robotics and Automation},
			Year = {1989},

			Owner = {baldassarre},
			Timestamp = {2010.01.29}
			}

			@Article{D.Chakrabarty2014,
			Title = {Provable Submodular Minimization using Wolfe's Algorithm},
			Author = {D. Chakrabarty, P. Jain, P. Kothari},
			Journal = {Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2014},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@InProceedings{DAmbra1999,
			Title = {Predicting Multivariate Responses in Non-Linear Regression},
			Author = {D'Ambra, L. and Lombardo, R.},
			Booktitle = {Contributed paper of ISI99, Helsinki (Finland)},
			Year = {1999},

			File = {:Statistical Learning/Vector-valued/dambra99multivariate.pdf:PDF},
			Owner = {baldazen},
			Timestamp = {2008.11.25}
			}

			@Article{Dahl2008,
			Title = {Covariance selection for nonchordal graphs via chordal embedding},
			Author = {Dahl, J. and Vandenberghe, L. and Roychowdhury, V.},
			Journal = {Opt. Methods and Softw.},
			Year = {2008},
			Number = {4},
			Pages = {501--520},
			Volume = {23},

			Owner = {jmscarlett},
			Publisher = {Taylor \& Francis},
			Timestamp = {2014.11.25}
			}

			@Article{Dahlquist1956,
			Title = {{C}onvergence and stability in numerical integration of ordinary differential equations},
			Author = {Dahlquist, G.},
			Journal = {Math. Scand.},
			Year = {1956},
			Pages = {33--53},
			Volume = {4},

			Keywords = {ODE DAE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Dai2003,
			Title = {On the asymptotic behavior of some new gradient methods},
			Author = {Y.H. Dai and R. Fletcher},
			Year = {2003},
			Number = {NA/212},
			Type = {Numerical Analysis Report},

			File = {:Papers/Dai2003.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@Article{Dai2002,
			Title = {R-linear convergence of the Barzilai and Borwein gradient method},
			Author = {Dai, Y. and Liao, L.},
			Journal = {IMA J. Numer. Anal.},
			Year = {2002},
			Number = {1},
			Pages = {1-10},
			Volume = {22},

			Abstract = {Combined with non-monotone line search, the Barzilai and Borwein (BB) gradient method has been successfully extended for solving unconstrained optimization problems and is competitive with conjugate gradient methods. In this paper, we establish the R-linear convergence of the BB method for any-dimensional strongly convex quadratics. One corollary of this result is that the BB method is also locally R-linear convergent for general objective functions, and hence the stepsize in the BB method will always be accepted by the non?monotone line search when the iterate is close to the solution.},
			Doi = {10.1093/imanum/22.1.1},
			Eprint = {http://imajna.oxfordjournals.org/content/22/1/1.full.pdf+html},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://imajna.oxfordjournals.org/content/22/1/1.abstract}
			}

			@Article{Dalalyan2013,
			Title = {Learning Heteroscedastic Models by Convex Programming under Group Sparsity},
			Author = {A. S. Dalalyan and M. Hebiri and K. Meziani and J. Salmon},
			Journal = {Proc. Int. Conf. Mach. Learn.},
			Year = {2013},
			Pages = {1--8},

			Owner = {quoctd},
			Timestamp = {2013.07.17}
			}

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			Title = {{MPI} for {P}ython: {P}erformance improvements and {MPI-2} extensions},
			Author = {Dalc\'{\i}n, Lisandro and Paz, Rodrigo and Storti, Mario and D'El\'{\i}a, Jorge},
			Journal = {J. Parallel Distr. Comp.},
			Year = {2008},

			Month = may,
			Number = {5},
			Pages = {655--662},
			Volume = {68},

			Acmid = {1360729},
			Address = {Orlando, FL, USA},
			Doi = {10.1016/j.jpdc.2007.09.005},
			ISSN = {0743-7315},
			Issue_date = {May, 2008},
			Keywords = {High-level languages, MPI, Message passing, Parallel Python},
			Numpages = {8},
			Owner = {quoctd},
			Publisher = {Academic Press, Inc.},
			Timestamp = {2013.08.23},
			Url = {http://dx.doi.org/10.1016/j.jpdc.2007.09.005}
			}

			@Article{Danskin1966,
			Title = {The Theory of Max-Min, with Applications},
			Author = {Danskin, J.},
			Journal = {SIAM Journal on Applied Mathematics},
			Year = {1966},
			Number = {4},
			Pages = {641-664},
			Volume = {14},

			Doi = {10.1137/0114053},
			Eprint = {http://epubs.siam.org/doi/pdf/10.1137/0114053},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://epubs.siam.org/doi/abs/10.1137/0114053}
			}

			@Book{Danskin1967,
			Title = {The theory of Max-Min and its application to weapons allocation problems},
			Author = {Danskin, John M.},
			Publisher = {Springer-Verlag, Berlin, New York},
			Year = {1967},

			Catalogue-url = { http://nla.gov.au/nla.cat-vn2047560 },
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Das2012a,
			Title = {Selecting Diverse Features via Spectral Regularization},
			Author = {Das, A. and Dasgupta, A. and Kumar, R.},
			Booktitle = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2012},
			Pages = {1592--1600},

			File = {das2012selecting.pdf:das2012selecting.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Das2011,
			Title = {Submodular meets spectral: Greedy algorithms for subset selection, sparse approximation and dictionary selection},
			Author = {Das, A. and Kempe, D.},
			Journal = {arXiv preprint arXiv:1102.3975},
			Year = {2011},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Daubechies2004,
			Title = {An iterative thresholding algorithm for linear inverse problems with a sparsity constraint},
			Author = {Daubechies, I. and Defrise, M. and De Mol, C.},
			Journal = {Comms. on Pure and App. Math.},
			Year = {2004},
			Number = {11},
			Pages = {1413--1457},
			Volume = {57},

			Owner = {jmscarlett},
			Publisher = {Wiley Online Library},
			Timestamp = {2014.11.25}
			}

			@Article{Daubechies2010,
			Title = {Iteratively reweighted least squares minimization for sparse recovery},
			Author = {Daubechies, Ingrid and DeVore, Ronald and Fornasier, Massimo and Güntürk, C. Si̇nan},
			Journal = {Comms. on Pure and App. Math.},
			Year = {2010},
			Number = {1},
			Pages = {1--38},
			Volume = {63},

			Doi = {10.1002/cpa.20303},
			File = {daubechies2010iteratively.pdf:Statistical Learning\\SPARSITY\\daubechies2010iteratively.pdf:PDF},
			ISSN = {1097-0312},
			Owner = {jmscarlett},
			Publisher = {Wiley Subscription Services, Inc., A Wiley Company},
			Timestamp = {2014.11.25},
			Url = {http://dx.doi.org/10.1002/cpa.20303}
			}

			@Article{Daubechies2008,
			Title = {Accelerated projected gradient method for linear inverse problems with sparsity constraints},
			Author = {Daubechies, I. and Fornasier, M. and Loris, I.},
			Journal = {J. Fourier Anal. and Apps.},
			Year = {2008},
			Number = {5},
			Pages = {764--792},
			Volume = {14},

			File = {daubechies2008.pdf:Optimization\\daubechies2008.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Springer},
			Timestamp = {2014.11.25}
			}

			@Article{Davenport2014,
			Title = {1-Bit matrix completion},
			Author = {Davenport, Mark A. and Plan, Yaniv and van den Berg, Ewout and Wootters, Mary},
			Journal = {Information and Inference},
			Year = {2014},
			Pages = {189--223},
			Volume = {3},

			Owner = {yhli},
			Timestamp = {2014.09.11}
			}

			@Article{Davidon1968,
			Title = {{V}ariance algorithms for minimization},
			Author = {Davidon, W. C.},
			Journal = {Computer Journal},
			Year = {1968},
			Pages = {406--410},
			Volume = {10},

			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Davidson2002,
			Title = {A genomic regulatory network for development.},
			Author = {Eric H Davidson and Jonathan P Rast and Paola Oliveri and Andrew Ransick and Cristina Calestani and Chiou-Hwa Yuh and Takuya Minokawa and Gabriele Amore and Veronica Hinman and Cesar Arenas-Mena and Ochan Otim and C. Titus Brown and Carolina B Livi and Pei Yun Lee and Roger Revilla and Alistair G Rust and Zheng jun Pan and Maria J Schilstra and Peter J C Clarke and Maria I Arnone and Lee Rowen and R. Andrew Cameron and David R McClay and Leroy Hood and Hamid Bolouri},
			Journal = {Science},
			Year = {2002},

			Month = {Mar},
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			Abstract = {Development of the body plan is controlled by large networks of regulatory genes. A gene regulatory network that controls the specification of endoderm and mesoderm in the sea urchin embryo is summarized here. The network was derived from large-scale perturbation analyses, in combination with computational methodologies, genomic data, cis-regulatory analysis, and molecular embryology. The network contains over 40 genes at present, and each node can be directly verified at the DNA sequence level by cis-regulatory analysis. Its architecture reveals specific and general aspects of development, such as how given cells generate their ordained fates in the embryo and why the process moves inexorably forward in developmental time.},
			Doi = {10.1126/science.1069883},
			File = {BIO\\Davidson02Regulatory.pdf:BIO\\Davidson02Regulatory.pdf:PDF},
			Keywords = {Animals; Cell Lineage; Computational Biology; Embryonic Development; Endoderm; Gene Expression Profiling; Gene Expression Regulation, Developmental; Genes, Regulator; Genome; Mesoderm; Models, Biological; Models, Genetic; Morphogenesis; Regulatory Sequences, Nucleic Acid; Sea Urchins; Stem Cells; Systems Theory},
			Owner = {BaldaZen},
			Pii = {295/5560/1669},
			Pmid = {11872831},
			Timestamp = {2007.02.01},
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			}

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			Keywords = {agbock NMPC chemistry multiple shooting optimal control},
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			File = {Diehl1998.pdf:Diehl1998.pdf:PDF},
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			}

			@Article{Diehl2004,
			Title = {{R}obust {D}ynamic {P}rogramming for {M}in-{M}ax {M}odel {P}redictive {C}ontrol of {C}onstrained {U}ncertain {S}ystems},
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			Doi = {10.1109/TAC.2004.838489},
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			Keywords = {agbock NMPC chemistry multiple shooting optimal control robust},
			Owner = {quoctd},
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			Url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1369401}
			}

			@TechReport{Diehl2003a,
			Title = {{R}obust {D}ynamic {P}rogramming for {L}inearly {C}onstrained {P}olytopic {S}ystems with {P}iecewise {L}inear {C}ost},
			Author = {Diehl, M. and Bj\"ornberg, J.},
			Institution = {SFB 359, Universit\"at Heidelberg},
			Year = {2003},

			Citeseerurl = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.2451},
			File = {Diehl2003a.pdf:Diehl2003a.pdf:PDF},
			Key = {Preprint 2003-14},
			Keywords = {agbock NMPC chemistry multiple shooting optimal control robust},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Diehl2006b,
			Title = {{A}n approximation technique for robust nonlinear optimization},
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			Pages = {213--230},
			Volume = {107},

			Doi = {10.1007/s10107-005-0685-1},
			File = {Diehl2006c.pdf:Diehl2006c.pdf:PDF},
			Keywords = {agbock robust optimization optec},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.springerlink.com/content/y737861045873673/}
			}

			@InProceedings{Diehl2002a,
			Title = {{N}ewton-{T}ype {M}ethods for the {A}pproximate {S}olution of {N}onlinear {P}rogramming {P}roblems in {R}eal-{T}ime},
			Author = {M. Diehl and H.G. Bock and J.P. Schl\"oder},
			Booktitle = {High Performance Algorithms and Software for Nonlinear Optimization},
			Year = {2002},
			Editor = {G. Di Pillo and A. Murli},
			Pages = {177--200},
			Publisher = {Kluwer Academic Publishers B.V.},

			Keywords = {agbock SQP NMPC optimization multiple shooting optimal control},
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			Timestamp = {2013.08.23}
			}

			@Article{Diehl2005,
			Title = {{A} real-time iteration scheme for nonlinear optimization in optimal feedback control},
			Author = {M. Diehl and H.G. Bock and J.P. Schl\"oder},
			Journal = {{SIAM} J. Control and Optimization},
			Year = {2005},
			Number = {5},
			Pages = {1714--1736},
			Volume = {43},

			Doi = {10.1137/S0363012902400713},
			File = {Diehl2005.pdf:Diehl2005.pdf:PDF},
			Keywords = {agbock NMPC chemistry multiple shooting optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://epubs.siam.org/sicon/resource/1/sjcodc/v43/i5/p1714\_s1}
			}

			@Article{Diehl2002b,
			Title = {{R}eal-time optimization and {N}onlinear {M}odel {P}redictive {C}ontrol of {P}rocesses governed by differential-algebraic equations},
			Author = {M. Diehl and H.G. Bock and J.P. Schl\"oder and R. Findeisen and Z. Nagy and F. Allg\"ower},
			Journal = {J. Proc. Control},
			Year = {2002},
			Number = {4},
			Pages = {577--585},
			Volume = {12},

			File = {Diehl2002b.pdf:Diehl2002b.pdf:PDF},
			Keywords = {agbock NMPC chemistry multiple shooting optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InCollection{Diehl2007a,
			Title = {{A} {S}tabilizing {R}eal-time {I}mplementation of {N}onlinear {M}odel {P}redictive {C}ontrol},
			Author = {M. Diehl and R. Findeisen and F. Allg\"ower},
			Booktitle = {Real-Time and Online PDE-Constrained Optimization},
			Publisher = {{SIAM}},
			Year = {2007},
			Editor = {L. Biegler and O. Ghattas and M. Heinkenschloss and D. Keyes and B. van Bloemen Waanders},
			Pages = {23--52},

			File = {Diehl2007b.pdf:Diehl2007b.pdf:PDF},
			Keywords = {agbock NMPC chemistry multiple shooting optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Diehl2005a,
			Title = {{N}ominal {S}tability of the {R}eal-{T}ime {I}teration {S}cheme for {N}onlinear {M}odel {P}redictive {C}ontrol},
			Author = {Diehl, M. and Findeisen, R. and Allg\"ower, F. and Bock, H.G. and Schl\"oder, J.P.},
			Journal = {IEE Proc.-Control Theory Appl.},
			Year = {2005},
			Number = {3},
			Pages = {296--308},
			Volume = {152},

			Annote = {Appeared also as IMA Preprint \#1910, University of Minnesota},
			Doi = {10.1049/ip-cta:20040008},
			File = {Diehl2005b.pdf:Diehl2005b.pdf:PDF},
			Institution = {IEE},
			Keywords = {agbock NMPC optec chemistry multiple shooting optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Diehl2003b,
			Title = {{N}ominal {S}tability of the {R}eal-{T}ime {I}teration {S}cheme for {N}onlinear {M}odel {P}redictive {C}ontrol},
			Author = {Diehl, M. and Findeisen, R. and Allg\"ower, F. and Bock, H.G. and Schl\"oder, J.P.},
			Institution = {IMA, University of Minnesota},
			Year = {2003},
			Number = { \#1910},

			File = {Diehl2003b.ps:Diehl2003b.ps:PostScript},
			Keywords = {agbock NMPC chemistry multiple shooting optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Diehl2003c,
			Title = {{S}tability of nonlinear model predictive control in the presence of errors due to numerical online optimization},
			Author = {M. Diehl and R. Findeisen and F. Allg\"ower and J.P. Schl\"oder and H.G. Bock},
			Booktitle = {Proc. {IEEE} Conf. Decision and Control},
			Year = {2003},

			Address = {Maui, Hawaii},
			Pages = {1419--1424},

			Doi = {10.1109/CDC.2003.1272809},
			File = {Diehl2003d.pdf:Diehl2003d.pdf:PDF},
			Keywords = {agbock NMPC chemistry multiple shooting optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1272809}
			}

			@Article{Diehl2003d,
			Title = {{A}n {E}fficient {A}lgorithm for {N}onlinear {M}odel {P}redictive {C}ontrol of {L}arge-{S}cale {S}ystems. {P}art {II}: {A}pplication to a {D}istillation {C}olumn},
			Author = {M. Diehl and R. Findeisen and S. Schwarzkopf and I. Uslu and F. Allg\"ower and H.G. Bock and E.D. Gilles and J.P. Schl\"oder},
			Journal = {Automatisierungstechnik},
			Year = {2003},
			Number = {1},
			Pages = {22--29},
			Volume = {51},

			File = {Diehl2003d.pdf:Diehl2003d.pdf:PDF},
			Keywords = {agbock NMPC chemistry multiple shooting optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.mendeley.com/research/efficient-algorithm-nonlinear-model-predictive-control-largescale-systems-part-ii-experimental-evaluation-distillation-column-ein-efficient-algorithm-nonlinear-model-predictive-control-largescale-systems-part-ii-experimental/}
			}

			@Article{Diehl2006,
			Title = {{L}oss of superlinear convergence for an {SQP}-type method with conic constraints},
			Author = {M. Diehl and F. Jarre and C. Vogelbusch},
			Journal = {SIAM J. Opt.},
			Year = {2006},
			Number = {4},
			Pages = {1201--1210},
			Volume = {16},

			Doi = {10.1137/050625977},
			File = {Diehl2006.pdf:Diehl2006.pdf:PDF},
			Keywords = {LMI SQP optec},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://link.aip.org/link/?SJE/16/1201/1}
			}

			@InProceedings{Diehl2002c,
			Title = {{S}imultaneous {E}stimation of {E}xtended {O}ptical {F}low and {G}lobal {P}arameters},
			Author = {M. Diehl and R. K\"usters and H. Scharr},
			Booktitle = {Workshop on Dynamic Perception},
			Year = {2002},

			Address = {Bochum},

			File = {Diehl2002d.pdf:Diehl2002d.pdf:PDF},
			Keywords = {agbock multiple shooting parameter estimation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Diehl2001b,
			Title = {{MUSCOD-II} {U}sers' {M}anual},
			Author = {M. Diehl and D.B. Leineweber and A.A.S. Sch\"afer},
			Institution = {Universit\"at Heidelberg},
			Year = {2001},
			Number = {2001-25},
			Type = {IWR-Pre\-print},

			File = {Diehl2001b.pdf:Diehl2001b.pdf:PDF},
			Keywords = {agbock multiple shooting optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Diehl2003e,
			Title = {{O}nline {NMPC} of a looping kite using approximate infinite horizon closed loop costing},
			Author = {Diehl, M. and L. Magni and {G. De} Nicolao},
			Booktitle = {IFAC Conf. Control Sys. Design},
			Year = {2003},

			Address = {Bratislava, Slovak Republic},
			Month = {September 7-10},
			Organization = {IFAC},

			Keywords = {agbock NMPC multiple shooting optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Diehl2004a,
			Title = {Efficient NMPC of unstable periodic systems using approximate infinite horizon closed loop costing},
			Author = {Moritz Diehl and Lalo Magni and Giuseppe De Nicolao},
			Journal = {Annual Rev. Control},
			Year = {2004},
			Number = {1},
			Pages = {37 - 45},
			Volume = {28},

			Doi = {10.1016/j.arcontrol.2004.01.011},
			File = {Diehl2004f.pdf:Diehl2004f.pdf:PDF},
			ISSN = {1367-5788},
			Keywords = {Periodic control},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/pii/S1367578804000057}
			}

			@Article{Diehl2009,
			Title = {Stability Optimization of Hybrid Periodic Systems via a Smooth Criterion},
			Author = {Diehl, M. and Mombaur, K. and Noll, D.},
			Journal = {Automatic Control, IEEE Transactions on},
			Year = {2009},

			Month = {aug. },
			Number = {8},
			Pages = {1875 -1880},
			Volume = {54},

			Doi = {10.1109/TAC.2009.2020669},
			File = {Diehl2009a.pdf:Diehl2009a.pdf:PDF},
			ISSN = {0018-9286},
			Keywords = {boundary value problem;complex open-loop stability optimization;controlled hybrid dynamic systems;differentiable criterion;differentiable nonlinear optimal control problem;ground impacts;hybrid periodic systems;matrix constraint;monodromy matrix;nonlinear dynamics;nonsmooth criteria;numerical optimization;open-loop control;periodic orbits;periodicity constraint;pseudo spectral radius;relaxed Lyapunov equation;smooth criterion;smooth stability optimization program;smoothed spectral radius;walking robot model;yield maximally stable limit cycles;Lyapunov methods;boundary-value problems;matrix algebra;open loop systems;optimal control;optimisation;periodic control;stability;time-varying systems;},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5173484}
			}

			@Article{Diehl2002d,
			Title = {{O}ptimization of {M}ultiple-{F}raction {B}atch {D}istillation with {R}ecycled {W}aste {C}uts},
			Author = {M. Diehl and A.A.S. Sch\"afer and H.G. Bock and J.P. Schl\"oder and D.B. Leineweber},
			Journal = {{AIChE} Journal},
			Year = {2002},
			Number = {12},
			Pages = {2869--2874},
			Volume = {48},

			Doi = {10.1002/aic.690481214},
			File = {Diehl2002.pdf:Diehl2002.pdf:PDF},
			Keywords = {agbock chemistry multiple shooting optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://onlinelibrary.wiley.com/doi/10.1002/aic.690481214/abstract}
			}

			@InCollection{Diehl2001a,
			Title = {{R}eal-{T}ime {O}ptimization for {L}arge {S}cale {P}rocesses: {N}onlinear {M}odel {P}redictive {C}ontrol of a {H}igh {P}urity {D}istillation {C}olumn},
			Author = {Diehl, M. and Uslu, I. and Findeisen, R. and Schwarzkopf, S. and Allg\"ower, F. and Bock, H.G. and B\"urner, T. and Gilles, E.D. and Kienle, A. and Schl\"oder, J.P. and Stein, E.},
			Booktitle = {Online {O}ptimization of {L}arge {S}cale Systems: {S}tate of the {A}rt},
			Publisher = {Springer},
			Year = {2001},
			Editor = {M. Gr\"otschel and S. O. Krumke and J. Rambau},
			Note = {download at: http://www.zib.de/dfg-echtzeit/Publikationen/Preprints/Preprint-01-16.html},
			Pages = {363--384},

			Citeseerurl = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.8798},
			File = {Diehl2001a.pdf:Diehl2001a.pdf:PDF},
			Keywords = {agbock NMPC chemistry multiple shooting optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.8798}
			}

			@Article{Diehl2010,
			Title = {An adjoint-based {SQP} algorithm with quasi-{N}ewton {J}acobian updates for inequality constrained optimization},
			Author = {M. Diehl and A. Walther and H.G. Bock and E. Kostina},
			Journal = {Opt. Methods and Softw.},
			Year = {2010},
			Number = {4},
			Pages = {531--552 },
			Volume = {25},

			Owner = {quoctd},
			Timestamp = {2012.04.08}
			}

			@TechReport{Dieses2001,
			Title = {{N}umerical {M}ethods for {O}ptimization {P}roblems in {W}ater {F}low and {R}eactive {S}olute {T}ransport {P}rocesses of {X}enobiotics in {S}oils},
			Author = {Dieses, A.},
			Institution = {Universit\"at Heidelberg},
			Year = {2001},
			Note = {Ph.D. Thesis},
			Number = {SFB Preprint 2001-07},

			Keywords = {agbock multiple shooting parameter estimation PDE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Dieses1999,
			Title = {{P}arameter {E}stimation for nonlinear transport and degradation processes of xenobiotica in soil},
			Author = {A. E. Dieses and J.P. Schl\"oder and H.G. Bock and O. Richter},
			Booktitle = {Scientific Computing in Chemical Engineering II},
			Year = {1999},
			Editor = {F. Keil et al.},
			Pages = {290--297},
			Publisher = {Springer Verlag},
			Volume = {2},

			Keywords = {agbock multiple shooting parameter estimation PDE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Dietterich1995,
			Title = {Solving Multiclass Learning Problems via Error-Correcting Output Codes},
			Author = {Thomas G. Dietterich and Ghulum Bakiri},
			Journal = {J. Art. Int. Res.},
			Year = {1995},
			Pages = {263-286},
			Volume = {2},

			File = {dietterich95solving.pdf:Statistical Learning/Multiclass/dietterich95solving.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25},
			Url = {citeseer.ist.psu.edu/dietterich95solving.html}
			}

			@Article{Dimakis2012,
			Title = {{LDPC} Codes for Compressed Sensing},
			Author = {Dimakis, AG. and Smarandache, R. and Vontobel, P.O.},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2012},

			Month = {May},
			Number = {5},
			Pages = {3093-3114},
			Volume = {58},

			ISSN = {0018-9448},
			Owner = {jmscarlett}
			}

			@Conference{Ding2004a,
			Title = {K-means clustering via principal component analysis},
			Author = {Ding, C. and He, X.},
			Booktitle = {Proc. Int. Conf. Mach. Learn. (ICML)},
			Year = {2004},
			Organization = {ACM New York, NY, USA},

			File = {ding2004kmeanspca.pdf:Statistical Learning/CLUSTERING/ding2004kmeanspca.pdf:PDF},
			Owner = {baldassarre},
			Timestamp = {2010.03.17}
			}

			@Article{Ding2012,
			Title = {An Introduction to a Class of Matrix Cone Programming},
			Author = {C. Ding and D. Sun and K.C. Toh},
			Journal = {Tech. Report.},
			Year = {2012},
			Pages = {xx},
			Volume = {xx},

			File = {:Papers/Ding2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.22}
			}

			@Book{Diwekar1995,
			Title = {{B}atch distillation: simulation, optimal design, and control},
			Author = {U.M. Diwekar},
			Publisher = {Taylor \& Francis},
			Year = {1995},

			Address = {Washington},

			Keywords = {optimal control chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Diwekar1987,
			Title = {{O}ptimal {R}eflux {R}ate {P}olicy {D}etermination for {M}ulticomponent {B}atch {D}istillation {C}olumns},
			Author = {U.M. Diwekar and R.K. Malik and K.P. Madhavan},
			Journal = {Comp. Chem. Eng.},
			Year = {1987},
			Pages = {629},
			Volume = {11},

			Keywords = {optimal control chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Djordjevic2003,
			Title = {A biophysical approach to transcription factor binding site discovery.},
			Author = {Marko Djordjevic and Anirvan M Sengupta and Boris I Shraiman},
			Journal = {Genome Res.},
			Year = {2003},

			Month = {Nov},
			Number = {11},
			Pages = {2381--2390},
			Volume = {13},

			Abstract = {Identification of transcription factor binding sites within regulatory segments of genomic DNA is an important step toward understanding of the regulatory circuits that control expression of genes. Here, we describe a novel bioinformatics method that bases classification of potential binding sites explicitly on the estimate of sequence-specific binding energy of a given transcription factor. The method also estimates the chemical potential of the factor that defines the threshold of binding. In contrast with the widely used information-theoretic weight matrix method, the new approach correctly describes saturation in the transcription factor/DNA binding probability. This results in a significant improvement in the number of expected false positives, particularly in the ubiquitous case of low-specificity factors. In the strong binding limit, the algorithm is related to the "support vector machine" approach to pattern recognition. The new method is used to identify likely genomic binding sites for the E. coli transcription factors collected in the DPInteract database. In addition, for CRP (a global regulatory factor), the likely regulatory modality (i.e., repressor or activator) of predicted binding sites is determined.},
			Doi = {10.1101/gr.1271603},
			File = {djordjevic03biophysical.pdf:BIO/djordjevic03biophysical.pdf:PDF},
			Keywords = {Algorithms; Binding Sites; Biophysics; Computational Biology; DNA, Bacterial; Databases, Genetic; Escherichia coli; Gene Expression Regulation; Internet; Models, Statistical; Transcription Factors},
			Owner = {luca},
			Pii = {13/11/2381},
			Pmid = {14597652},
			Timestamp = {2007.01.25},
			Url = {http://dx.doi.org/10.1101/gr.1271603}
			}

			@InProceedings{DoBa2010,
			Title = {Lower Bounds for Sparse Recovery.},
			Author = {Do Ba, Khanh and Indyk, Piotr and Price, Eric and Woodruff, David P},
			Booktitle = {SODA},
			Year = {2010},
			Organization = {SIAM},
			Pages = {1190--1197},
			Volume = {10},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Doan2009,
			Title = {A distributed version of {Han}'s method for {DMPC} using local communications only},
			Author = {D. Doan and T. Keviczky and I. Necoara and M. Diehl and B. {D}e Schutter},
			Journal = {Control Eng. and App. Informatics},
			Year = {2009},
			Number = {3},
			Pages = {6--15},
			Volume = {11},

			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Dohono2006,
			Title = {For most large underdetermined systems of linear equations the minimal $\ell_1$-norm solution is also the sparsest solution},
			Author = {Dohono, David L.},
			Journal = {Commun. Pure Appl. Math.},
			Year = {2006},
			Pages = {797--829},
			Volume = {LIX},

			Owner = {yhli},
			Timestamp = {2014.07.24}
			}

			@Article{Dolan2002,
			Title = {Benchmarking optimization software with performance profiles},
			Author = {E.D. Dolan and J.J. Mor\'e},
			Journal = {Math. Program.},
			Year = {2002},
			Pages = {201--213},
			Volume = {91},

			Owner = {quoctd},
			Timestamp = {2012.05.09}
			}

			@InProceedings{Domahidi2012,
			Title = {Efficient interior point Methods for Multistage Problems Arising in Receding Horizon Control},
			Author = {A. Domahidi and A. Zgraggen and M.N. Zeilinger and M. Morari and C.N. Jones},
			Booktitle = {IEEE Conf. Decision and Control},
			Year = {2012},

			Address = {Maui, HI, USA},
			Month = dec,
			Pages = {668 -- 674},

			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Domenech1981,
			Title = {{P}rogram for {S}imulation {B}atch {R}ectification as {U}nit {O}peration},
			Author = {Domenech, S. and M. Enjalbert},
			Journal = {Comp. Chem. Eng.},
			Year = {1981},
			Number = {181},
			Volume = {5},

			Keywords = {optimal control chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Dongarra1990,
			Title = {{A} {S}et of {L}evel 3 {B}asic {L}inear {A}lgebra {S}ubprograms},
			Author = {J.J. Dongarra and J. Du Croz and I. Duff and S. Hammarling},
			Journal = {{ACM} Trans. on Math. Soft.},
			Year = {1990},
			Pages = { 1--28},
			Volume = {16,1},

			Keywords = {computation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Dongarra1988,
			Title = {{A}n extended {S}et of {F}ortran {B}asic {L}inear {A}lgebra {S}ubprograms},
			Author = {J.J. Dongarra and J. Du Croz and S. Hammarling and R. Hanson},
			Journal = {{ACM} Trans. on Math. Soft.},
			Year = {1988},
			Pages = {1--32},
			Volume = {14,1},

			Keywords = {computation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Donoho2003,
			Title = {Maximal sparsity representation via l1 minimization},
			Author = {D. Donoho and M. Elad},
			Journal = {Proc. Nat. Acad. Sci.},
			Year = {2003},
			Pages = {2197-2202},
			Volume = {100},

			Citeseerurl = {citeseer.ist.psu.edu/donoho03maximal.html},
			File = {Statistical Learning\\donoho03maximal.pdf:Statistical Learning\\donoho03maximal.pdf:PDF},
			Owner = {BaldaZen},
			Timestamp = {2007.02.01}
			}

			@Article{Donoho2011,
			Title = {The Noise-Sensitivity Phase Transition in Compressed Sensing},
			Author = {Donoho, D.L. and Maleki, A and Montanari, A},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2011},

			Month = {Oct.},
			Number = {10},
			Pages = {6920-6941},
			Volume = {57},

			ISSN = {0018-9448},
			Owner = {jmscarlett}
			}

			@Article{Donoho2009a,
			Title = {Observed universality of phase transitions in high-dimensional geometry, with implications for modern data analysis and signal processing},
			Author = {Donoho, David and Tanner, Jared},
			Journal = {Phil. Trans. Royal Soc. A},
			Year = {2009},
			Pages = {4273--4293},
			Volume = {367},

			Owner = {yhli},
			Timestamp = {2014.07.30}
			}

			@Article{Donoho2006,
			Title = {Compressed sensing},
			Author = {Donoho, David L.},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2006},

			Month = apr,
			Number = {4},
			Pages = {1289--1306},
			Volume = {52},

			Owner = {yhli},
			Timestamp = {2014.07.30}
			}

			@Article{Donoho2006a,
			Title = {High-dimensional centrally symmetric polytopes with neighborliness proportional to dimension},
			Author = {Donoho, David L.},
			Journal = {Discrete Comp. Geom.},
			Year = {2006},
			Pages = {617--652},
			Volume = {35},

			Owner = {yhli},
			Timestamp = {2014.07.30}
			}

			@TechReport{Donoho2004,
			Title = {Neighborly polytopes and sparse solution of underdetermined linear equations},
			Author = {Donoho, David L.},
			Institution = {Stanford University},
			Year = {2004},

			Bdsk-url-1 = {http://statweb.stanford.edu/~donoho/reports.html#2005},
			Owner = {yhli},
			Timestamp = {2014.07.30},
			Url = {http://statweb.stanford.edu/~donoho/reports.html#2005}
			}

			@Article{Donoho2001a,
			Title = {Sparse components of images and optimal atomic decomposition},
			Author = {D. L. Donoho},
			Journal = {Constructive Approx.},
			Year = {2001},
			Pages = {353--382},
			Volume = {17},

			File = {:Papers/Donoho2001.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.24}
			}

			@Article{Donoho1993,
			Title = {Unconditional bases are optimal bases for data compression and for statistical estimation},
			Author = {D. L. Donoho},
			Journal = {App. Comp. Harmon. Anal.},
			Year = {1993},
			Pages = {100-115},
			Volume = {1},

			File = {:Papers/Donoho1993.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.24}
			}

			@Article{Donoho2001,
			Title = {Uncertainty principles and ideal atomic decomposition},
			Author = {Donoho, David L. and Huo, Xiaoming},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2001},

			Month = nov,
			Number = {7},
			Pages = {2845--2862},
			Volume = {47},

			Owner = {yhli},
			Timestamp = {2014.07.21}
			}

			@Article{Donoho2009,
			Title = {Message Passing Algorithms for Compressed Sensing},
			Author = {David L. Donoho and Arian Maleki and Andrea Montanari},
			Journal = {Proc. Nat. Acad. Sci.},
			Year = {2009},

			Month = {Sept.},
			Pages = {18914-18919},
			Volume = {106},

			Owner = {Jono},
			Timestamp = {2014.08.29}
			}

			@Article{Donoho1989,
			Title = {Uncertainty principles and signal recovery},
			Author = {Donoho, David L. and Stark, Philip B.},
			Journal = {SIAM J. App. Math.},
			Year = {1989},

			Month = jun,
			Number = {3},
			Pages = {906--931},
			Volume = {49},

			Owner = {yhli},
			Timestamp = {2014.07.21}
			}

			@Article{Donoho2010,
			Title = {Precise undersampling theorems},
			Author = {Donoho, David L. and Tanner, Jared},
			Journal = {Proc. IEEE},
			Year = {2010},

			Month = jun,
			Number = {6},
			Pages = {913--924},
			Volume = {98},

			Owner = {yhli},
			Timestamp = {2014.07.30}
			}

			@Article{Donoho2009b,
			Title = {Counting faces of randomly projected polytopes when the projection radically lowers dimension},
			Author = {Donoho, David L. and Tanner, Jared},
			Journal = {J. Amer. Math. Soc.},
			Year = {2009},

			Month = jan,
			Number = {1},
			Pages = {1--53},
			Volume = {22},

			Owner = {yhli},
			Timestamp = {2014.07.30}
			}

			@Article{Donoho2005,
			Title = {Sparse nonnegative solution of underdetermined linear equations by linear programming},
			Author = {Donoho, David L. and Tanner, Jared},
			Journal = {Proc. Nat. Acad. Sci.},
			Year = {2005},

			Month = jul,
			Number = {27},
			Pages = {9446--9451},
			Volume = {102},

			Owner = {yhli},
			Timestamp = {2014.07.31}
			}

			@Article{Donoho2008,
			Title = {Fast solution of $\ell_1$-norm minimization problems when the solution may be sparse},
			Author = {Donoho, David L. and Tsaig, Yaakov},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2008},

			Month = nov,
			Number = {11},
			Pages = {4789--4812},
			Volume = {54},

			Owner = {yhli},
			Timestamp = {2014.04.15}
			}

			@Article{Donoho2012,
			Title = {Sparse solution of underdetermined systems of linear equations by stagewise orthogonal matching pursuit},
			Author = {Donoho, David L. and Tsaig, Yaakov and Drori, Iddo and Starck, Jean-Luc},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2012},

			Month = feb,
			Number = {2},
			Pages = {1094--1121},
			Volume = {58},

			Owner = {yhli},
			Timestamp = {2014.04.15}
			}

			@Article{Dontchev1996,
			Title = {Characterizations of strong regularity for variational inequalities over polyhedral convex sets},
			Author = {A. L. Dontchev and T. R. Rockafellar},
			Journal = {SIAM J. Opt.},
			Year = {1996},
			Number = {4},
			Pages = {1087--1105.},
			Volume = {6},

			File = {:Papers/Dontchev1996.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.07}
			}

			@Article{Doolittle1999,
			Title = {Lateral genomics},
			Author = {W. F. Doolittle},
			Journal = {Trends Cell Biol},
			Year = {1999},

			Month = {Dec},
			Number = {12},
			Pages = {M5--M8},
			Volume = {9},

			Abstract = {More than 20 complete prokaryotic genome sequences are now publicly available, each by itself an unparalleled resource for understanding organismal biology. Collectively, these data are even more powerful: they could force a dramatic reworking of the framework in which we understand biological evolution. It is possible that a single universal phylogenetic tree is not the best way to depict relationships between all living and extinct species. Instead a web- or net-like pattern, reflecting the importance of horizontal or lateral gene transfer between lineages of organisms, might provide a more appropriate visual metaphor. Here, I ask whether this way of thinking is really justified, and explore its implications.},
			File = {Doolittle99LateralGenomics.pdf:BIO/Doolittle99LateralGenomics.pdf:PDF},
			Keywords = {Evolution, Molecular; Genome; Phylogeny; Prokaryotic Cells; RNA, Ribosomal},
			Owner = {luca},
			Pii = {S0962-8924(99)01664-5},
			Pmid = {10611671},
			Timestamp = {2007.03.01}
			}

			@Article{DotanCohen2007,
			Title = {Hierarchical tree snipping: clustering guided by prior knowledge},
			Author = {Dotan-Cohen, Dikla and Melkman, Avraham A. and Kasif, Simon},
			Journal = {Bioinformatics},
			Year = {2007},
			Number = {24},
			Pages = {3335-3342},
			Volume = {23},

			Abstract = {Motivation: Hierarchical clustering is widely used to cluster genes into groups based on their expression similarity. This method first constructs a tree. Next this tree is partitioned into subtrees by cutting all edges at some level, thereby inducing a clustering. Unfortunately, the resulting clusters often do not exhibit significant functional coherence. Results: To improve the biological significance of the clustering, we develop a new framework of partitioning by snippingcutting selected edges at variable levels. The snipped edges are selected to induce clusters that are maximally consistent with partially available background knowledge such as functional classifications. Algorithms for two key applications are presented: functional prediction of genes, and discovery of functionally enriched clusters of co-expressed genes. Simulation results and cross-validation tests indicate that the algorithms perform well even when the actual number of clusters differs considerably from the requested number. Performance is improved compared with a previously proposed algorithm. Availability: A java package is available at http://www.cs.bgu.ac.il/~dotna/ TreeSnipping Contact: dotna@cs.bgu.ac.il Supplementary information: Supplementary data are available at Bioinformatics online.},
			Doi = {10.1093/bioinformatics/btm526},
			Eprint = {http://bioinformatics.oxfordjournals.org/cgi/reprint/23/24/3335.pdf},
			File = {cohen07hierarchical.pdf:BIO/cohen07hierarchical.pdf:PDF},
			Owner = {baldazen},
			Timestamp = {2008.02.27},
			Url = {http://bioinformatics.oxfordjournals.org/cgi/content/abstract/23/24/3335}
			}

			@Article{Doty1993,
			Title = {{A} {T}heory of {G}eneralized {I}nverses {A}pplied to {R}obotics},
			Author = {K.L. Doty and C. Melchiorri and C. Bonivento},
			Journal = {Int. J. Robotics Res.},
			Year = {1993},
			Number = {1},
			Pages = {1--19},
			Volume = {12},

			Keywords = {serial manipulators, redundancy, pseudo inverse},
			Owner = {qtrandin},
			Timestamp = {2009.08.21}
			}

			@Article{Douglas1956,
			Title = {On the numerical solution of heat conduction problems in two and three space variables},
			Author = {Douglas, Jim and Rachford, HH},
			Journal = {Trans. Amer. Math. Soc.},
			Year = {1956},
			Number = {2},
			Pages = {421--439},
			Volume = {82},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Douma2005,
			Title = {Relations between uncertainty structures in identification for robust control},
			Author = {Sippe G. Douma and Paul M.J. Van den Hof},
			Journal = {Automatica},
			Year = {2005},
			Number = {3},
			Pages = {439 - 457},
			Volume = {41},

			Doi = {10.1016/j.automatica.2004.11.005},
			File = {Douma2005.pdf:Douma2005.pdf:PDF},
			ISSN = {0005-1098},
			Keywords = {Identification for control},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/pii/S0005109804003267}
			}

			@Article{Downs1993,
			Title = {{A} plant-wide industrial process control problem},
			Author = {Downs, J.J. and Vogel, E.F.},
			Journal = {Comp. Chem. Eng.},
			Year = {1993},
			Pages = {245--255},
			Volume = {17},

			File = {Downs1993.pdf:/Downs1993.pdf:PDF},
			Keywords = {optimal control chemistry},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Drineas2006,
			Title = {Fast Monte Carlo algorithms for matrices II: Computing a low-rank approximation to a matrix},
			Author = {Drineas, Petros and Kannan, Ravi and Mahoney, Michael W},
			Journal = {SIAM Journal on Computing},
			Year = {2006},
			Number = {1},
			Pages = {158--183},
			Volume = {36},

			Owner = {jmscarlett},
			Publisher = {SIAM},
			Timestamp = {2014.11.25}
			}

			@Article{Drineas2008,
			Title = {Relative-error CUR matrix decompositions},
			Author = {Drineas, Petros and Mahoney, Michael W and Muthukrishnan, S},
			Journal = {SIAM Journal on Matrix Anal. and Apps.},
			Year = {2008},
			Number = {2},
			Pages = {844--881},
			Volume = {30},

			Owner = {jmscarlett},
			Publisher = {SIAM},
			Timestamp = {2014.11.25}
			}

			@Article{Drummond2010,
			Title = {Warning: statistical benchmarking is addictive. Kicking the habit in machine learning},
			Author = {Drummond, Chris and Japkowicz, Nathalie},
			Journal = {J. Exp. Theor. Artif. Intell.},
			Year = {2010},

			Month = mar,
			Number = {1},
			Pages = {67--80},
			Volume = {22},

			Acmid = {1744684},
			Address = {Bristol, PA, USA},
			Doi = {10.1080/09528130903010295},
			File = {drummond2010warning.pdf:Statistical Learning\\drummond2010warning.pdf:PDF},
			ISSN = {0952-813X},
			Issue_date = {March 2010},
			Keywords = {algorithm evaluation, benchmarking, machine learning, null hypothesis tests},
			Numpages = {14},
			Owner = {jmscarlett},
			Publisher = {Taylor \& Francis, Inc.},
			Timestamp = {2014.11.25},
			Url = {http://dx.doi.org/10.1080/09528130903010295}
			}

			@Article{Du2006,
			Title = {A supervised hidden markov model framework for efficiently segmenting tiling array data in transcriptional and chIP-chip experiments: systematically incorporating validated biological knowledge.},
			Author = {Jiang Du and Joel S Rozowsky and Jan O Korbel and Zhengdong D Zhang and Thomas E Royce and Martin H Schultz and Michael Snyder and Mark Gerstein},
			Journal = {Bioinformatics},
			Year = {2006},

			Month = {Dec},
			Number = {24},
			Pages = {3016--3024},
			Volume = {22},

			Abstract = {MOTIVATION: Large-scale tiling array experiments are becoming increasingly common in genomics. In particular, the ENCODE project requires the consistent segmentation of many different tiling array datasets into 'active regions' (e.g. finding transfrags from transcriptional data and putative binding sites from ChIP-chip experiments). Previously, such segmentation was done in an unsupervised fashion mainly based on characteristics of the signal distribution in the tiling array data itself. Here we propose a supervised framework for doing this. It has the advantage of explicitly incorporating validated biological knowledge into the model and allowing for formal training and testing. Methodology: In particular, we use a hidden Markov model (HMM) framework, which is capable of explicitly modeling the dependency between neighboring probes and whose extended version (the generalized HMM) also allows explicit description of state duration density. We introduce a formal definition of the tiling-array analysis problem, and explain how we can use this to describe sampling small genomic regions for experimental validation to build up a gold-standard set for training and testing. We then describe various ideal and practical sampling strategies (e.g. maximizing signal entropy within a selected region versus using gene annotation or known promoters as positives for transcription or ChIP-chip data, respectively). RESULTS: For the practical sampling and training strategies, we show how the size and noise in the validated training data affects the performance of an HMM applied to the ENCODE transcriptional and ChIP-chip experiments. In particular, we show that the HMM framework is able to efficiently process tiling array data as well as or better than previous approaches. For the idealized sampling strategies, we show how we can assess their performance in a simulation framework and how a maximum entropy approach, which samples sub-regions with very different signal intensities, gives the maximally performing gold-standard. This latter result has strong implications for the optimum way medium-scale validation experiments should be carried out to verify the results of the genome-scale tiling array experiments.},
			Doi = {10.1093/bioinformatics/btl515},
			File = {BIO\\Du06SupervisedHiddenMarkov.pdf:BIO\\Du06SupervisedHiddenMarkov.pdf:PDF},
			Keywords = {Artificial Intelligence; Biology; Chromosome Mapping; Databases, Genetic; Gene Expression Profiling; Information Storage and Retrieval; Markov Chains; Oligonucleotide Array Sequence Analysis; Pattern Recognition, Automated; Sequence Analysis, DNA; Transcription Factors; Transcription, Genetic},
			Owner = {BaldaZen},
			Pii = {btl515},
			Pmid = {17038339},
			Timestamp = {2007.02.07},
			Url = {http://dx.doi.org/10.1093/bioinformatics/btl515}
			}

			@InBook{Duadi2011,
			Title = {Source: Holography, Research and Technologies},
			Author = {Duadi, H. and Margalit, O. and Mico, V. and Rodrigo, J.A. and Alieva, T. and Garcia, J. and Zalevsky, Z.},
			Chapter = {Digital holography and phase retrieval},
			Editor = {Rosen, J.},
			Publisher = {InTech},
			Year = {2011},

			Owner = {baldassarre},
			Timestamp = {2012.09.27}
			}

			@Article{Duarte2012,
			Title = {Kronecker compressive sensing},
			Author = {Duarte, M.F. and Baraniuk, R.G.},
			Journal = {IEEE Trans. Image Proc.},
			Year = {2012},
			Number = {2},
			Pages = {494--504},
			Volume = {21},

			File = {duarte2012kronecker.pdf:COMPRESSIVE SENSING/duarte2012kronecker.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {IEEE},
			Timestamp = {2014.11.25}
			}

			@Article{Duarte2011,
			Title = {Structured compressed sensing: From theory to applications},
			Author = {Duarte, M.F. and Eldar, Y.C.},
			Journal = {IEEE Trans. Sig. Proc.},
			Year = {2011},
			Number = {9},
			Pages = {4053--4085},
			Volume = {59},

			File = {duarte2011structured.pdf:COMPRESSIVE SENSING/duarte2011structured.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {IEEE},
			Timestamp = {2014.11.25}
			}

			@Article{Duarte2008,
			Title = {Single-pixel imaging via compressive sampling},
			Author = {Duarte, Marco F. and Davenport, Mark A. adn Takhar, Dharmpal and Laska, Jason N. and Sun, Ting and Kelly, Kevin F. and Baraniuk, Richard G.},
			Journal = {IEEE Sig. Proc. Mag.},
			Year = {2008},

			Month = mar,
			Number = {2},
			Pages = {83--91},
			Volume = {25},

			Owner = {yhli},
			Timestamp = {2014.06.24}
			}

			@Conference{duarte2009recovery,
			Title = {Recovery of compressible signals in unions of subspaces},
			Author = {Duarte, Marco F and Hegde, Chinmay and Cevher, Volkan and Baraniuk, Richard G},
			Booktitle = {Conf. Inf. Sci. Sys. (CISS)},
			Year = {2009},

			Institution = {CISS}
			}

			@InProceedings{Duarte2008b,
			Title = {Wavelet-domain compressive signal reconstruction using a hidden Markov tree model},
			Author = {Duarte, Marco F and Wakin, Michael B and Baraniuk, Richard G},
			Booktitle = {IEEE Int. Conf. Acoustics, Speech, and Sig. Proc. (ICASSP)},
			Year = {2008},
			Organization = {IEEE},
			Pages = {5137--5140},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Duchi2012,
			Title = {Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling},
			Author = {J.C. Duchi and A. Agarwal and M.J. Wainwright},
			Journal = {IEEE Trans. Aut. Control},
			Year = {2012},
			Number = {3},
			Pages = {592--606},
			Volume = {57},

			File = {:Papers/Duchi2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.27}
			}

			@Article{Duchi2012a,
			Title = {Projected subgradient methods for learning sparse gaussians.},
			Author = {J. Duchi and S. Gould and D. Koller},
			Journal = {Tech. Report.},
			Year = {2012},
			Pages = {xx},
			Volume = {xx},

			File = {:Papers/Duchi2012a.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.11.16},
			Url = {arXiv preprint: arXiv:1206.3249, 2012.}
			}

			@InProceedings{Duchi2008,
			Title = {Efficient projections onto the l1-ball for learning in high dimensions},
			Author = {Duchi, John and Shalev-Shwartz, Shai and Singer, Yoram and Chandra, Tushar},
			Booktitle = {Proc. Int. Conf. Mach. Learn. (ICML)},
			Year = {2008},

			Address = {New York, NY, USA},
			Pages = {272--279},
			Publisher = {ACM},
			Series = {ICML '08},

			Acmid = {1390191},
			Doi = {http://doi.acm.org/10.1145/1390156.1390191},
			File = {duchi2008.pdf:Optimization\\duchi2008.pdf:PDF},
			ISBN = {978-1-60558-205-4},
			Location = {Helsinki, Finland},
			Numpages = {8},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25},
			Url = {http://doi.acm.org/10.1145/1390156.1390191}
			}

			@Article{Duff1986,
			Title = {{C}omputing the structural index},
			Author = {Duff, I.S. and Gear, C.W.},
			Journal = {{SIAM} Journal on Algebraic Discrete Methods},
			Year = {1986},
			Pages = {594--603},
			Volume = {7},

			Keywords = {computation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Duff1996,
			Title = {{T}he design of {MA}48: {A} code for the direct solution of sparse unsymmetric linear systems of equations},
			Author = {I.S. Duff and J.K. Reid},
			Journal = {{ACM} Trans. on Math. Soft.},
			Year = {1996},
			Pages = {187--226},
			Volume = {22},

			Keywords = {computation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Dughmi2011,
			Title = {Submodular functions: Extensions, distributions, and algorithms. a survey},
			Author = {Dughmi, Shaddin},
			Journal = {arXiv preprint arXiv:0912.0322},
			Year = {2011},

			File = {dughmi2011submodular.pdf:dughmi2011submodular.pdf:PDF},
			Keywords = {submodular, combinatorial, optimimization},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Dung2009,
			Title = {Regularization algorithms for solving monotone equilibrium problems},
			Author = {M. Le Dung and Q. Tran-Dinh},
			Journal = {J. Opt. Theory and Apps.},
			Year = {2009},
			Pages = {185--204},
			Volume = {124},

			Owner = {quoctd},
			Timestamp = {2013.11.13}
			}

			@Article{Dunn1989,
			Title = {{E}fficient {D}ynamic {P}rogramming {I}mplementations of {N}ewton's {M}ethod for {U}nconstrained {O}ptimal {C}ontrol {P}roblems},
			Author = {J.C. Dunn and D.P. Bertsekas},
			Journal = {J. Opt. Theory and Apps.},
			Year = {1989},
			Pages = {23--38},
			Volume = {63},

			Keywords = {optimal control indirect methods},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Dvoretzky1956,
			Title = {On stochastic approximation},
			Author = {Dvoretzky, Aryeh},
			Booktitle = {Berkeley Symp. Math. Stat. Prob.},
			Year = {1956},
			Pages = {39--55},
			Volume = {1},

			Owner = {yhli},
			Timestamp = {2014.04.08}
			}

			@Article{Eaton1992,
			Title = {{M}odel predictive control of chemical processes},
			Author = {Eaton, J. W. and Rawlings, J. B.},
			Journal = {Chem. Eng. Sci.},
			Year = {1992},
			Number = {4},
			Pages = {705--720},
			Volume = {47},

			Keywords = {NMPC chemistry optimal control},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Eckstein1994,
			Title = {Parallel alternating direction multiplier decomposition of convex programs},
			Author = {J. Eckstein},
			Journal = {J. Opt. Theory and Apps.},
			Year = {1994},
			Number = {1},
			Pages = {39--62},
			Volume = {80},

			File = {:Papers/Eckstein1994.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.05.10}
			}

			@Article{Eckstein1993,
			Title = {Nonlinear proximal point algorithms using {B}regman functions, with applications to convex programming},
			Author = {Eckstein, Jonathan},
			Journal = {Math. Oper. Res.},
			Year = {1993},
			Number = {1},
			Pages = {202--226},
			Volume = {18},

			Owner = {yhli},
			Timestamp = {2014.04.29}
			}

			@PhdThesis{Eckstein1989,
			Title = {Splitting methods for monotone operators with applications to parallel optimization},
			Author = {Eckstein, Jonathan},
			School = {Massachusetts Institute of Technology},
			Year = {1989},
			Month = sep,

			Owner = {yhli},
			Timestamp = {2014.11.17}
			}

			@Article{Eckstein1992a,
			Title = {On the {D}ouglas - {R}achford splitting method and the proximal point algorithm for maximal monotone operators},
			Author = {J. Eckstein and D. Bertsekas},
			Journal = {Math. Program.},
			Year = {1992},
			Pages = {293--318},
			Volume = {55},

			File = {:Papers/Eckstein1992.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Article{Eckstein1992,
			Title = {On the {D}ouglas-{R}achford splitting method and the proximal point algorithm for maximal monotone operators},
			Author = {Eckstein, Jonathan and Bertsekas, Dimitri P.},
			Journal = {Math. Program.},
			Year = {1992},
			Pages = {293--318},
			Volume = {55},

			Owner = {yhli},
			Timestamp = {2014.11.06}
			}

			@Article{Edelman2005,
			Title = {Random matrix theory},
			Author = {Edelman, Alan and Rao, N. Raj},
			Journal = {Acta Numer.},
			Year = {2005},

			Month = may,
			Pages = {1--65},
			Volume = {14},

			Owner = {yhli},
			Timestamp = {2014.06.18}
			}

			@Book{Edgar2001,
			Title = {Optimization of Chemical Processes},
			Author = {Edgar, T.F. and Himmelblau, D.M. and Lasdon, L.S.},
			Publisher = {McGraw-Hill},
			Year = {2001},

			Address = {New York},

			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Efron2010,
			Title = {Large-Scale Inference},
			Author = {Efron, Bradley},
			Publisher = {Cambridge Univ. Press},
			Year = {2010},

			Address = {Cambridge, UK},

			Owner = {yhli},
			Timestamp = {2014.07.11}
			}

			@Article{Efron2004b,
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			Title = {{N}onlinear {M}odel {P}redictive {C}ontrol of the {T}ennessee {E}astman {C}hallenge {P}rocess},
			Author = {R. Feller},
			Institution = {Lehrstuhl f\"ur Prozesstechnik, RWTH Aachen},
			Year = {1997},
			Number = {LPT-thes-1997-23},
			Type = {External senior project},

			Keywords = {NMPC optimal control chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Keywords = {textbook},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Owner = {baldassarre},
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			File = {ferris98interfaces.pdf:Statistical Learning/ferris98interfaces.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.03.12}
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			Title = {Statistical image reconstruction methods for transmission tomography},
			Author = {Fessler, Jeffrey A.},
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			Publisher = {SPIE Press},
			Year = {2000},

			Address = {Bellingham},
			Chapter = {1},
			Editor = {Sonka, Milan and Fitzpatrick, J. Michael},
			Pages = {1--70},

			Owner = {yhli},
			Timestamp = {2014.08.19}
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			Title = {{T}he {F}eynman {L}ectures on {P}hysics, vol. {I}},
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			Publisher = {Addison--Wesley},
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			Address = {Reading, MA},

			Keywords = {miscellaneous},
			Owner = {quoctd},
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			Title = {{N}onlinear {P}rogramming: {S}equential {U}nconstrained {M}inimization {T}echniques},
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			Owner = {quoctd},
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			Title = {{N}onlinear {P}rogramming: {S}equential {U}nconstrained {M}inimization {T}echniques},
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			Journal = {{SIAM} publications},
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			Keywords = {optimization SQP, OPTEC-library},
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			Owner = {jmscarlett},
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			Doi = {10.1109/JSTSP.2007.910281},
			ISSN = {1932-4553},
			Keywords = {Barzilai-Borwein method;bound-constrained quadratic programming;compressed sensing;convex optimization;gradient projection;inverse problems;least absolute shrinkage selection operator;line search parameters;quadratic error;regularization;signal processing;sparse reconstruction;sparseness-inducing regularization;statistical inference;wavelet-based deconvolution;deconvolution;inverse problems;optimisation;signal reconstruction;statistical analysis;},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
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			Keywords = {ODE DAE},
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			@MastersThesis{Findeisen1997,
			Title = {{M}oving horizon estimation of discrete time systems},
			Author = {P.K. Findeisen},
			School = {University of Wisconsin-Madison},
			Year = {1997},

			Keywords = {NMPC optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Findeisen2000,
			Title = {{N}onlinear model predictive control for index--one {DAE} systems},
			Author = {Findeisen, R. and Allg\"ower, F. },
			Booktitle = {Nonlinear Predictive Control},
			Year = {2000},

			Address = {Basel Boston Berlin},
			Editor = {Allg\"ower, F. and Zheng, A.},
			Pages = {145--162},
			Publisher = {Birkh\"auser},

			Key = {ISBN 3-7643-6297-9},
			Keywords = {NMPC optimal control DAE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Unpublished{Findeisen2003,
			Title = {{C}omputational {D}elay in {N}onlinear {M}odel {P}redictive {C}ontrol},
			Author = {R. Findeisen and F. Allg\"ower},
			Note = {Proc. Int. Symp. Adv. Control of Chemical Processes, ADCHEM},
			Year = {2003},

			Keywords = {NMPC optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Unpublished{Findeisen2000a,
			Title = {{E}fficient {N}onlinear {M}odel {P}redictive {C}ontrol},
			Author = {Findeisen, R. and Allg\"ower, F. and Diehl, M. and Bock, H.G. and Schl\"oder, J.P. and Nagy, Z.},
			Year = {2000},

			Booktitle = {6th International Conference on Chemical Process Control -- {CPC VI}},
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			File = {Findeisen2000a.PDF:Findeisen2000a.PDF:PDF},
			Keywords = {agbockNMPC optimal control},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.5440}
			}

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			Booktitle = {Proc. Amer. Contr. Conf.},
			Year = {2002},

			Address = { Anchorage},
			Pages = {4752--4757},

			Doi = {10.1109/ACC.2002.1025410},
			File = {Findeisen2002.pdf:Findeisen2002.pdf:PDF},
			Keywords = {agbockNMPC optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1025410}
			}

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			Booktitle = cdc42,
			Year = {2002},

			Address = {Las Vegas, USA},
			Pages = {4613--4618},

			Doi = {10.1109/CDC.2002.1185105},
			File = {Findeisen2002a.pdf:Findeisen2002a.pdf:PDF},
			Keywords = {agbockNMPC optimal control},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1185105}
			}

			@InProceedings{Findeisen2003b,
			Title = {{T}owards a {S}ampled-{D}ata {T}heory for {N}onlinear {M}odel {P}redictive {C}ontrol},
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			Booktitle = {New Trends in Nonlinear Dynamics and Control},
			Year = {2003},

			Address = {New York},
			Editor = {Kang, W. and Borges, C. and Xiao, M.},
			Pages = {295--313},
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			Series = {Lecture Notes in Control and Information Sciences},
			Volume = {295},

			Keywords = {NMPC optimal control},
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			}

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			Author = {Findeisen, R. and Imsland, L. and Allg\"ower, F. and Foss, B.A.},
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			Year = {2003},
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			Keywords = {NMPC optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Title = {{O}n the {R}obustness of {C}ontinuous {T}ime {M}odel {P}redictive {C}ontrol},

			Author = {Findeisen, R. and Imsland, L. and Allg\"ower, F. and Foss, B.A.},
			HowPublished = {Workshop on Nonlinear Predictive Control, Oxford, UK},
			Month = {May 9th},
			Year = {2002},

			Keywords = {NMPC optimal control},
			Owner = {quoctd},
			Pubtype = {talk},
			Timestamp = {2013.08.23}
			}

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			Keywords = {textbook},
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			Month = {Dec.},
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			Pages = {5758-5772},
			Volume = {55},

			Doi = {10.1109/TIT.2009.2032726},
			ISSN = {0018-9448},
			Keywords = {Gaussian processes;matrix algebra;maximum likelihood estimation;signal detection;Gaussian measurement matrices;Lasso;asymptotically reliable detection;k-sparse vector;maximum correlation;maximum-likelihood estimation;orthogonal matching pursuit;random noisy measurement;signal detection;signal-to-noise ratio;sparsity pattern recovery;thresholding algorithm;Additive noise;Matching pursuit algorithms;Maximum likelihood detection;Maximum likelihood estimation;Noise level;Noise measurement;Signal processing;Sparse matrices;Sufficient conditions;Vectors;Compressed sensing;Lasso;convex optimization;maximum-likelihood (ML) estimation;orthogonal matching pursuit (OMP);random matrices;random projections;sparse approximation;subset selection;thresholding},
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			File = {:Papers/Fletcher2005.pdf:PDF},
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			File = {:Papers/Fletcher2001.pdf:PDF},
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			Volume = {315},

			Abstract = {Clustering data by identifying a subset of representative examples is important for processing sensory signals and detecting patterns in data. Such "exemplars" can be found by randomly choosing an initial subset of data points and then iteratively refining it, but this works well only if that initial choice is close to a good solution. We devised a method called "affinity propagation," which takes as input measures of similarity between pairs of data points. Real-valued messages are exchanged between data points until a high-quality set of exemplars and corresponding clusters gradually emerges. We used affinity propagation to cluster images of faces, detect genes in microarray data, identify representative sentences in this manuscript, and identify cities that are efficiently accessed by airline travel. Affinity propagation found clusters with much lower error than other methods, and it did so in less than one-hundredth the amount of time.},
			Doi = {10.1126/science.1136800},
			File = {Frey07Clustering.pdf:Statistical Learning/Frey07Clustering.pdf:PDF},
			Owner = {luca},
			Pii = {1136800},
			Pmid = {17218491},
			Timestamp = {2007.02.21},
			Url = {http://dx.doi.org/10.1126/science.1136800}
			}

			@Article{Friedlander1995,
			Title = {A new method for large-scale box constrained convex quadratic minimization problems},
			Author = {Friedlander, A. and Mart{\i}nez, JM and Raydan, M.},
			Journal = {Opt. Methods and Softw.},
			Year = {1995},
			Pages = {57--74},
			Volume = {5},

			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Unpublished{Friedlander2014,
			Title = {Tail bounds for stochastic approximation},
			Author = {Friedlander, Michael P. and Goh, Gabriel},
			Note = {arXiv:1304.5586v2 [math.OC]},

			Month = jan,
			Year = {2014},

			Owner = {yhli},
			Timestamp = {2014.04.01}
			}

			@Article{Friedman2010,
			Title = {A note on the group lasso and a sparse group lasso},
			Author = {Friedman, J. and Hastie, T. and Tibshirani, R.},
			Journal = {arXiv preprint arXiv:1001.0736},
			Year = {2010},

			File = {friedman2010note.pdf:Statistical Learning/SPARSITY/friedman2010note.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Friedman2008,
			Title = {Sparse inverse covariance estimation with the graphical lasso},
			Author = {Friedman, J. and Hastie, T. and Tibshirani, R.},
			Journal = {Biostatistics},
			Year = {2008},
			Number = {3},
			Pages = {432--441},
			Volume = {9},

			Owner = {quoctd},
			Publisher = {Biometrika Trust},
			Timestamp = {2013.01.10}
			}

			@Article{Frome1983,
			Title = {The analysis of rates using {P}oisson regression models},
			Author = {Frome, E. L.},
			Journal = {Biom.},
			Year = {1983},
			Pages = {665--674},
			Volume = {39},

			Owner = {yhli},
			Timestamp = {2014.09.01}
			}

			@Book{Fujishige2005,
			Title = {Submodular functions and optimization},
			Author = {Fujishige, S.},
			Publisher = {Elsevier Science},
			Year = {2005},
			Volume = {58},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Fujishige2011,
			Title = {A submodular function minimization algorithm based on the minimum-norm base},
			Author = {Fujishige, S. and Isotani, S.},
			Journal = {Pac. J. Opt.},
			Year = {2011},
			Number = {1},
			Pages = {3--17},
			Volume = {7},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Fujishige2001,
			Title = {Realization of set functions as cut functions of graphs and hypergraphs},
			Author = {Fujishige, S. and Patkar, S.},
			Journal = {Discrete Math.},
			Year = {2001},
			Number = {1},
			Pages = {199--210},
			Volume = {226},

			Owner = {jmscarlett},
			Publisher = {Elsevier},
			Timestamp = {2014.11.25}
			}

			@Misc{Fukud2003,
			Title = {cdd and cddplus {H}omepage},

			Author = {K. Fukuda},
			HowPublished = {http://www.cs.mcgill.ca/\ {}fukuda/soft/cdd\_home/cdd.html},
			Month = {July},
			Year = {2003},

			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Misc{Fukud2000,
			Title = {{F}requently {A}sked {Q}uestions in {P}olyhedral {C}omputation},

			Author = {K. Fukuda},
			HowPublished = {http://www.ifor.math.ethz.ch/\ { }fukuda/polyfaq/polyfaq.html},
			Month = {October},
			Year = {2000},

			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Fukuda2002,
			Title = {Lagrangian dual interior-point methods for semidefinite programs},
			Author = {M. Fukuda and M. Kojima and M. Shida},
			Journal = {SIAM J. Opt.zation},
			Year = {2002},
			Pages = {1007--1031},
			Volume = {12},

			File = {:Papers/Fukuda2002.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Article{Fukushima1992,
			Title = {Application of the alternating direction method of multipliers to separable convex programming problems},
			Author = {Fukushima, M.},
			Journal = {Comp. Opt. Apps.},
			Year = {1992},
			Number = {1},
			Pages = {93--111},
			Volume = {1},

			File = {:Papers/Fukushima1992.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.07.30}
			}

			@Article{Fukushima1992a,
			Title = {Equivalent differentiable optimization problems and descent methods for asymmetric variational inequality problems},
			Author = {Fukushima, M.},
			Journal = {Math. Program.},
			Year = {1992},
			Pages = {99--110},
			Volume = {53},

			Owner = {quoctd},
			Timestamp = {2014.03.28}
			}

			@Article{Fukushima1996,
			Title = {A parallel descent algorithm for convex programming},
			Author = {M. Fukushima and M. Haddou and N. Van Hien and J.J. Strodiot and T. Sugimoto and E. Yamakawa},
			Journal = {Comp. Opt. Apps.},
			Year = {1996},
			Number = {1},
			Pages = {5--37},
			Volume = {5},

			File = {:Papers/Fukushima1996.ps:PostScript},
			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Article{Fukushima2003,
			Title = {A sequential quadratically constrained quadratic programming method for differentiable convex minimization},
			Author = {M. Fukushima and Z.Q. Lui and P. Tseng},
			Journal = {SIAM J. Opt.},
			Year = {2003},
			Number = {4},
			Pages = {1098--1119},
			Volume = {13},

			Owner = {quoctd},
			Timestamp = {2013.01.08}
			}

			@Article{Fukushima1981,
			Title = {A generalized proximal point algorithm for certain non-convex minimization problems},
			Author = {Fukushima, M. and Mine, H.},
			Journal = {International J. Sys. Sci.},
			Year = {1981},
			Number = {8},
			Pages = {989--1000},
			Volume = {12},

			Owner = {jmscarlett},
			Publisher = {Taylor \& Francis},
			Timestamp = {2014.11.25}
			}

			@Article{Fuller2008,
			Title = {Bendersdecomposition for a class of variational inequalities},
			Author = {J.D. Fuller and W. Chung},
			Journal = {European J. Op. Res.},
			Year = {2008},
			Number = {1},
			Pages = {76--91},
			Volume = {185},

			File = {:Papers/Fuller2008.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.22}
			}

			@InProceedings{Fury2006,
			Title = {Overlapping probabilities of top ranking gene lists, hypergeometric distribution, and stringency of gene selection criterion},
			Author = {Fury, W. and Batliwalla, F. and Gregersen, P.K. and Li, W.},
			Booktitle = {Engineering in Medicine and Biology Society, 2006. EMBS'06. 28th Annual International Conference of the IEEE},
			Year = {2006},
			Organization = {IEEE},
			Pages = {5531--5534},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@PhdThesis{FuselierJr2006,
			Title = {Refined error estimates for matrix-valued radial basis functions},
			Author = {Fuselier Jr, E.J.},
			School = {Texas A\&M University},
			Year = {2006},

			File = {fuselier2006refined.pdf:Statistical Learning/Vector-valued/fuselier2006refined.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Gueler1992,
			Title = {New proximal point algorithms for convex minimization},
			Author = {G{\"u}ler, O.},
			Journal = {SIAM J. Opt.},
			Year = {1992},
			Pages = {649},
			Volume = {2},

			File = {guler1992.pdf:Optimization\\guler1992.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Gueler1991,
			Title = {On the convergence of the proximal point algorithm for convex minimization},
			Author = {G\"{u}ler, Osman},
			Journal = {SIAM J. Control Opt.},
			Year = {1991},

			Month = mar,
			Number = {2},
			Pages = {403--419},
			Volume = {29},

			Owner = {yhli},
			Timestamp = {2014.02.26}
			}

			@TechReport{Guenzel2012,
			Title = {Convex Quadratic Optimization is Universal in Nonlinear Optimization},
			Author = {H. G\"{u}nzel},
			Institution = {Department of Mathematics – C, RWTH Aachen University, Germany},
			Year = {2012},
			Type = {Tech. Report},

			File = {:Papers/Gunzel2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26},
			Url = {http://arxiv.org/abs/1210.6817}
			}

			@Article{Gabasov1996,
			Title = {{C}losable {F}eedback for {G}uaranteed {O}ptimization of {U}ndeterminate {S}ystems of {C}ontrol},
			Author = {Gabasov, R. and Kirillova, F.M. and Kostina, E.A.},
			Journal = {Doklady Mathematics},
			Year = {1996},
			Number = {2},
			Pages = {305--308},
			Volume = {53},

			Keywords = {optimal control NMPC robust},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Gabay1976,
			Title = {A dual algorithm for the solution of nonlinear variational problems via finite element approximation},
			Author = {D. Gabay and B. Mercier},
			Journal = {Comp. Math. with Apps.},
			Year = {1976},
			Number = {1},
			Pages = {17 - 40},
			Volume = {2},

			Doi = {10.1016/0898-1221(76)90003-1},
			ISSN = {0898-1221},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/pii/0898122176900031}
			}

			@Article{Gallese1996,
			Title = {Action Recognition in the Premotor Cortex},
			Author = {Gallese, V. and Fadiga, L. and Fogassi, L. and Rizzolatti, G.},
			Journal = {Brain},
			Year = {1996},
			Pages = {593-609},
			Volume = {119},

			Owner = {baldassarre},
			Timestamp = {2010.01.29}
			}

			@TechReport{Gancarova2012,
			Title = {A robust robust optimization result},
			Author = {M. Gancarova and M.J. Todd},
			Year = {2012},
			Type = {Tech. Report.},

			File = {:Papers/Gancarova2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@InProceedings{Gao2012,
			Title = {Spatial Predictive Control for Agile Semi-Autonomous Ground Vehicles},
			Author = {Y. Gao and A. Gray and J. V. Frasch and T. Lin and E. Tseng and J.K. Hedrick and F. Borrelli},
			Booktitle = {Proc. Int. Symp. Adv. Vehicle Control},
			Year = {2012},

			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Garcia1986,
			Title = {{Q}uadratic programming solution of dynamic matrix control ({QDMC})},
			Author = {Garc{\'\i}a, C.E. and Morshedi, A.M.},
			Journal = {Chem. Eng. Comms.},
			Year = {1986},
			Pages = {73--87},
			Volume = {46},

			Keywords = {optimal control},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Garcia1989,
			Title = {{M}odel {P}redictive {C}ontrol: {T}heory and {P}ractice -- a {S}urvey},
			Author = {C.E. Garc\'{\i}a and D.M. Prett and M. Morari},
			Journal = {Automatica},
			Year = {1989},
			Pages = {335ff },
			Volume = {25},

			Keywords = {NMPC optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Garg2009,
			Title = {Gradient descent with sparsification: An iterative algorithm for sparse recovery with restricted isometry property},
			Author = {Garg, Rahul and Khandekar, Rohit},
			Booktitle = {Proc. Int. Conf. Mach. Learn. (ICML)},
			Year = {2009},
			Pages = {337--344},

			Owner = {yhli},
			Timestamp = {2014.03.24}
			}

			@Article{Garrett-Mayer2008,
			Title = {Cross-study validation and combined analysis of gene expression microarray data},
			Author = {Garrett-Mayer, Elizabeth and Parmigiani, Giovanni and Zhong, Xiaogang and Cope, Leslie and Gabrielson, Edward},
			Journal = {Biostat},
			Year = {2008},
			Number = {2},
			Pages = {333-354},
			Volume = {9},

			Abstract = {Investigations of transcript levels on a genomic scale using hybridization-based arrays have led to formidable advances in our understanding of the biology of many human illnesses. At the same time, these investigations have generated controversy because of the probabilistic nature of the conclusions and the surfacing of noticeable discrepancies between the results of studies addressing the same biological question. In this article, we present simple and effective data analysis and visualization tools for gauging the degree to which the findings of one study are reproduced by others and for integrating multiple studies in a single analysis. We describe these approaches in the context of studies of breast cancer and illustrate that it is possible to identify a substantial biologically relevant subset of the human genome within which hybridization results are reliable. The subset generally varies with the platforms used, the tissues studied, and the populations being sampled. Despite important differences, it is also possible to develop simple expression measures that allow comparison across platforms, studies, laboratories and populations. Important biological signals are often preserved or enhanced. Cross-study validation and combination of microarray results requires careful, but not overly complex, statistical thinking and can become a routine component of genomic analysis.},
			Doi = {10.1093/biostatistics/kxm033},
			Eprint = {http://biostatistics.oxfordjournals.org/cgi/reprint/9/2/333.pdf},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25},
			Url = {http://biostatistics.oxfordjournals.org/cgi/content/abstract/9/2/333}
			}

			@Article{Gattu1992,
			Title = {{N}onlinear quadratic dynamic matrix control with state estimation},
			Author = {G. Gattu and E. Zafiriou},
			Journal = {Ind. Eng. Chem. Res.},
			Year = {1992},
			Number = {4},
			Pages = {1096--1104},
			Volume = {31},

			Keywords = {optimal control NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Gattu1992a,
			Title = {{O}n the stability of nonlinear quadratic dynamic matrix control},
			Author = {G. Gattu and E. Zafiriou},
			Booktitle = {Proc. of the IFAC Symposium DYCORD+'92},
			Year = {1992},

			Address = {College Park, U.S.A.},

			Keywords = {optimal control NMPC robust},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Gauvin1988,
			Title = {Directional behaviour of optimal solutions in nonlinear mathematicalprogramming},
			Author = {J. Gauvin and R. Janin},
			Journal = {Math. Oper. Res.},
			Year = {1988},
			Number = {4},
			Pages = {629--649},
			Volume = {13},

			Owner = {quoctd},
			Timestamp = {2012.04.08}
			}

			@Article{Ge1983,
			Title = {{T}he convergence of variable metric matrices in unconstraint optimization},
			Author = {Ge, R.-P. and Powell, M.J.D.},
			Journal = {Math. Prog.},
			Year = {1983},
			Pages = {123--143},
			Volume = {27},

			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Gear1990,
			Title = {{D}ifferential algebraic equations, indices, and integral algebraic equations},
			Author = {Gear, C.W.},
			Journal = {{SIAM} J. Numer. Anal.},
			Year = {1990},
			Number = {6},
			Pages = {1527--1534},
			Volume = {27},

			Keywords = {DAE ODE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Gear1988,
			Title = {{D}ifferential-algebraic equation index transformations},
			Author = {Gear, C.W.},
			Journal = {{SIAM} J. Sci. Stat. Comp.},
			Year = {1988},
			Pages = {39--47},
			Volume = {9},

			Fjournal = {{SIAM} Journal on Scientific and Statistical Computing},
			Keywords = {DAE ODE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Gear1980,
			Title = {{R}unge-{K}utta starters for multistep methods},
			Author = {Gear, C.W.},
			Journal = {{ACM} Trans. Math. Softw.},
			Year = {1980},
			Pages = {263--279},
			Volume = {6},

			Keywords = {DAE ODE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Gear1971,
			Title = {{N}umerical initial value problems in ordinary differential equations},
			Author = {Gear, C.W.},
			Publisher = {Prentice Hall},
			Year = {1971},

			Address = {Englewood Cliffs, NJ},

			Keywords = {DAE ODE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Gear1984,
			Title = {{S}olving ordinary differential equations with discontinuities},
			Author = {Gear, C.W. and Osterby, O.},
			Journal = {{ACM} Trans. on Math. Soft.},
			Year = {1984},
			Number = {1},
			Pages = {23--44},
			Volume = {10},

			Keywords = {DAE ODE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Gear1974a,
			Title = {{T}he effect of variable mesh size on the stability of multistep methods},
			Author = {Gear, C.W. and Tu, K.W.},
			Journal = {{SIAM} J. Numer. Anal.},
			Year = {1974},
			Pages = {1025--1043},
			Volume = {11},

			Keywords = {DAE ODE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InCollection{Gear1983,
			Title = {{S}mooth numerical solutions of ordinary differential equations},
			Author = {Gear, C.W. and T. Vu},
			Booktitle = {Numerical Treatment of Inverse Problems in Differential and Integral Equations},
			Publisher = {Birk\-h\"au\-ser},
			Year = {1983},

			Address = {Boston},
			Editor = {P. Deuflhard and E. Hairer},

			Keywords = {DAE ODE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Geer2014,
			Title = {On asymptotically optimal confidence regions and tests for high-dimensional models},
			Author = {van de Geer, Sara and B\"{u}hlmann, Peter and Ritov, Ya'acov and Dezure, Ruben},
			Journal = {Ann. Stats.},
			Year = {2014},
			Number = {3},
			Pages = {1166--1202},
			Volume = {42},

			Owner = {yhli},
			Timestamp = {2014.10.20}
			}

			@InProceedings{Geitner1996,
			Title = {{A}utomatic {C}omputation of {S}parse {J}acobians by {A}pplying the {M}ethod of {N}ewsam and {R}amsdell},
			Author = {Geitner, U. and Utke, J. and Griewank, A.},
			Booktitle = {Computational Differentiation, Proceedings of the Second International Workshop},
			Year = {1996},

			Address = {Philadelphia},
			Editor = {M. Berz et al. eds.},
			Pages = {161--172},
			Publisher = {{SIAM}},

			Keywords = {DAE ODE automatic differentiation computation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Genceli1995,
			Title = {{D}esign of robust constrained model-predictive controllers with {Volterra} series},
			Author = {Genceli, H. and Nikolaou, M.},
			Journal = {{AIChE} Journal},
			Year = {1995},
			Number = {9},
			Pages = {2098--2107},
			Volume = {41},

			Keywords = {optimal control NMPC robust},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Geoffrion1972a,
			Title = {Generalized Benders' decomposition},
			Author = {A.M. Geoffrion},
			Journal = {J. Opt. Theory and Apps.},
			Year = {1972},
			Number = {4},
			Pages = {237--260},
			Volume = {10},

			File = {:Papers/Geoffrion1972.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.22}
			}

			@InProceedings{Gerdts2008,
			Title = {A nonsmooth Newton's method for control-state constrained optimal control problems},
			Author = {Matthias Gerdts},
			Booktitle = {5th Vienna International Conference on Mathematical Modelling/Workshop on Scientific Computing in Electronic Engineering of the 2006 International Conference on Computational Science/Structural Dynamical Systems: Computational Aspects},
			Year = {2008},
			Number = {4},
			Pages = {925 - 936},
			Volume = {79},

			Doi = {10.1016/j.matcom.2008.02.018},
			File = {Gerdts2008.pdf:Gerdts2008.pdf:PDF},
			ISSN = {0378-4754},
			Journal = {Math. Comp. Simul.},
			Keywords = {Optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/pii/S0378475408001018}
			}

			@Book{Gerstner2002,
			Title = {Spiking neuron models: Single neurons, populations, plasticity},
			Author = {Gerstner, W and Kistler, W.},
			Publisher = {Cambridge university press},
			Year = {2002},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Book{Ghanem1991,
			Title = {{S}tochastic {F}inite {E}lements},
			Author = {R.G. Ghanem and P.D. Spanos},
			Publisher = {Springer},
			Year = {1991},

			Address = {Heidelberg},

			Keywords = {PDE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Gibson,
			Title = {Microarray Analysis},
			Author = {Greg Gibson},

			File = {PLOS - Microarray Analysis.pdf:BIO/PLOS - Microarray Analysis.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.25}
			}

			@Article{Giering2003,
			Title = {{Applying TAF to a Navier-Stokes solver that simulates an Euler flow around an airfoil}},
			Author = {R. Giering and T. Kaminski and T. Slawig},
			Journal = {Future Gen. Comp. Sys.},
			Year = {2003},
			Note = {(submitted)},

			Abstract = {We give a TAF overview and describe in some detail, how iterative solvers can be handled efficiently. As an application we demonstrate the generation of adjoint, tangent linear, and Hessian code for a CFD solver in an airfoil configuration. We also list a few other large-scale applications and their performance.},
			Ad_area = {General, CFD},
			Ad_theotech = {Iteration},
			Ad_tools = {TAF},
			Address = {Amsterdam},
			File = {Giering2003ATt.pdf:http\://www.FastOpt.com/papers/Giering2003ATt.pdf:PDF},
			Keywords = {PDE},
			Owner = {quoctd},
			Publisher = {Elsevier},
			Timestamp = {2013.08.23}
			}

			@Article{Gilbert2010,
			Title = {Sparse recovery using sparse matrices},
			Author = {Gilbert, Anna and Indyk, Piotr},
			Journal = {Proc. IEEE},
			Year = {2010},

			Month = jun,
			Number = {6},
			Pages = {937--947},
			Volume = {98},

			Owner = {yhli},
			Timestamp = {2014.03.25}
			}

			@InProceedings{Gilbert2004,
			Title = {Compressing network graphs},
			Author = {Gilbert, Anna C and Levchenko, Kirill},
			Booktitle = {Proc. LinkKDD Workshop at AMS Conf. on KDD},
			Year = {2004},

			File = {gilbert2004compressing.pdf:COMPRESSIVE SENSING/gilbert2004compressing.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@TechReport{Gilbert1993,
			Title = {State Space and ARMA Models: An Overview of the Equivalence},
			Author = {Paul D. Gilbert},
			Year = {1993},

			File = {Gilbert93StateSpaceArma.pdf:Statistics/Gilbert93StateSpaceArma.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.03.01}
			}

			@TechReport{Gilbert,
			Title = {ALGORITHMIC LINEAR DIMENSION REDUCTION IN THE l1 NORM FOR SPARSE VECTORS},
			Author = {Gilbert, Strauss, Tropp, Vershynin},

			File = {GSTV06-Algorithmic-Linear.pdf:Statistical Learning/GSTV06-Algorithmic-Linear.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.26}
			}

			@Article{Giles1979,
			Title = {Total dual integrality and integer polyhedra},
			Author = {Giles, FR and Pulleyblank, William R},
			Journal = {Linear algebra and its applications},
			Year = {1979},
			Pages = {191--196},
			Volume = {25},

			Owner = {Marwa},
			Publisher = {Elsevier},
			Timestamp = {2014.12.13}
			}

			@Article{Gill2005,
			Title = {SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization},
			Author = {Gill, P. and Murray, W. and Saunders, M.},
			Journal = {SIAM Rev.},
			Year = {2005},
			Number = {1},
			Pages = {99-131},
			Volume = {47},

			Doi = {10.1137/S0036144504446096},
			Eprint = {http://epubs.siam.org/doi/pdf/10.1137/S0036144504446096},
			File = {Gill2005.pdf:Gill2005.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://epubs.siam.org/doi/abs/10.1137/S0036144504446096}
			}

			@Book{Gill1983,
			Title = {{U}ser's guide for \mbox{SOL/QPSOL}: a {F}ortran package for quadratic programming},
			Author = {P.E. Gill and W. Murray and M.A. Saunders and M.H. Wright },
			Publisher = {Stanford University},
			Year = {1983},

			Address = {Systems Optimization Laboratory, Department of Oper. Res.},
			Series = {Technical Report},
			Volume = { SOL 83-7},

			Keywords = {SQP},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Gill1981,
			Title = {{Practical optimization}},
			Author = {Gill, P. E. and Murray, W. and Wright, M. H.},
			Publisher = {Academic Press},
			Year = {1981},

			Address = {London},

			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Ginchev2012,
			Title = {Characterization and recognition of d.c. functions},
			Author = {I. Ginchev and D. Gintcheva},
			Journal = {J. Global Opt.},
			Year = {2012},
			Pages = {1--15},

			File = {:Papers/Ginchev2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.15}
			}

			@Article{Girosi1998,
			Title = {An Equivalence Between Sparse Approximation and Support Vector Machines},
			Author = {Girosi, Federico},
			Journal = {Neural Comp.},
			Year = {1998},
			Number = {6},
			Pages = {1455-1480},
			Volume = {10},

			Doi = {10.1162/089976698300017269},
			Eprint = {http://www.mitpressjournals.org/doi/pdf/10.1162/089976698300017269},
			File = {girosi1997sparseapprox.pdf:Statistical Learning/girosi1997sparseapprox.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25},
			Url = {http://www.mitpressjournals.org/doi/abs/10.1162/089976698300017269}
			}

			@Article{Girosi1995,
			Title = {Regularization theory and neural networks architectures},
			Author = {Girosi, F. and Jones, M. and Poggio, T.},
			Journal = {Neural computation},
			Year = {1995},
			Number = {2},
			Pages = {219--269},
			Volume = {7},

			File = {girosi1995regularization.pdf:Statistical Learning/girosi1995regularization.pdf:PDF},
			Owner = {baldassarre},
			Publisher = {MIT Press},
			Timestamp = {2009.12.16}
			}

			@InProceedings{Giselsson2014,
			Title = {{M}onotonicity and {R}estart in {F}ast {G}radient {M}ethods},
			Author = {P. Giselsson and S. Boyd},
			Booktitle = {IEEE Conf. Decision and Control},
			Year = {2014},

			Address = {Los Angeles, USA},
			Month = {December},
			Organization = {CDC},

			Institution = {Stanford University},
			Owner = {quoctd},
			Timestamp = {2014.10.21},
			Type = {Tech. Report}
			}

			@Article{Glowinski1975,
			Title = {Sur l'approximation, par \'el\'ements finis d'ordre un, et la r\'esolution, par p\'enalisation-dualit\'e, d'une classe de probl\`emes de {D}irichlet non lin\'eaires},
			Author = {Glowinski, R. and Marrocco, A.},
			Journal = {Rev. Fran\c caise Automat. Informat. Recherche Op\'erationnelle, RAIRO Analyse Num\'erique},
			Year = {1975},
			Number = {R-2},
			Pages = {41--76},
			Volume = {9},

			ISSN = {0399-0516},
			Mrclass = {65N35},
			Mrnumber = {0388811 (52 \#9645)},
			Mrreviewer = {J. R. Cannon},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Gnecco2009,
			Title = {Estimates of the Approximation Error Using Rademacher Complexity: Learning Vector-Valued Functions},
			Author = {Gnecco, G. and Sanguineti, M.},
			Journal = {J. Ineq. Apps.},
			Year = {2009},
			Volume = {2008},

			File = {gnecco2009estimates.pdf:Statistical Learning/Vector-valued/gnecco2009estimates.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Hindawi Publishing Corporation},
			Timestamp = {2014.11.25}
			}

			@Article{Goemans1997,
			Title = {Semidefinite programming in combinatorial optimization},
			Author = {Goemans, M.X.},
			Journal = {Math. Program.},
			Year = {1997},
			Pages = {143--161},
			Volume = {79},

			Owner = {quoctd},
			Timestamp = {2012.07.04}
			}

			@PhdThesis{Goh1995,
			Title = {Robust control synthesis via bilinear matrix inequalities},
			Author = {K.C. Goh},
			School = {University of Southern California},
			Year = {1995},

			Address = {Los Angeles, CA},
			Type = {PhD Thesis},

			Owner = {quoctd},
			Timestamp = {2012.04.08}
			}

			@Article{Goldberg1998,
			Title = {Beyond the flow decomposition barrier},
			Author = {Goldberg, A. and Rao, S.},
			Journal = {J. Amer. Chem. Soc.},
			Year = {1998},

			Month = sep,
			Number = {5},
			Pages = {783--797},
			Volume = {45},

			Acmid = {290181},
			Address = {New York, NY, USA},
			ISSN = {0004-5411},
			Issue_date = {Sept. 1998},
			Keywords = {combinatorial optimization, maximum flows},
			Numpages = {15},
			Owner = {jmscarlett},
			Publisher = {ACM},
			Timestamp = {2014.11.25}
			}

			@Article{Goldfarb1983,
			Title = {{A} numerically stable dual method for solving strictly convex quadratic programs},
			Author = {D. Goldfarb and A. Idnani},
			Journal = {Math. Prog.},
			Year = {1983},
			Pages = {1--33},
			Volume = {27},

			File = {Goldfarb1983.pdf:Goldfarb1983.pdf:PDF},
			Keywords = {optimization duality},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Goldfarb2012,
			Title = {Fast alternating linearization methods of minimization of the sum of two convex functions},
			Author = {D. Goldfarb and S. Ma},
			Journal = {Math. Program., Ser. A},
			Year = {2012},
			Pages = {1--34},

			Doi = {DOI 10.1007/s10107-012-0530-2},
			Owner = {quoctd},
			Timestamp = {2013.03.15}
			}

			@Article{Goldfarb2011,
			Title = {Convergence of fixed-point continuation algorithms for matrix rank minimization},
			Author = {Goldfarb, D. and Ma, S.},
			Journal = {Found. Comp. Math.},
			Year = {2011},
			Number = {2},
			Pages = {183--210},
			Volume = {11},

			Owner = {jmscarlett},
			Publisher = {Springer},
			Timestamp = {2014.11.25}
			}

			@Article{Goldfarb2010,
			Title = {{F}ast {M}ultiple {S}plitting {A}lgorithms for {C}onvex {O}ptimization},
			Author = {D. Goldfarb and S. Ma},
			Journal = {SIAM J. Opt.zation},
			Year = {2010},
			Volume = {(under revision)},

			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Article{Goldstein2012a,
			Title = {Fast alternating direction optimization methods},
			Author = {Goldstein, T. and ôDonoghue, B. and Setzer, S.},
			Journal = {CAM report},
			Year = {2012},
			Pages = {12--35},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Goldstein2013,
			Title = {Adaptive {P}rimal-{D}ual {H}ybrid {G}radient {M}ethods for {S}addle {P}oint {P}roblems},
			Author = {T. Goldstein and E. Esser and R. Baraniuk},
			Journal = {Tech. Report.},
			Year = {2013},
			Pages = {1--26},
			Volume = {http://arxiv.org/pdf/1305.0546v1.pdf},

			Owner = {quoctd},
			Timestamp = {2014.05.20}
			}

			@Article{Goldstein2012,
			Title = {{F}ast {A}lternating {D}irection {O}ptimization {M}ethods},
			Author = {T. Goldstein and B. ODonoghue and S. Setzer},
			Journal = {SIAM J. Imaging Sci.},
			Year = {2012},
			Number = {3},
			Pages = {1588--1623},
			Volume = {7},

			Address = {Los Angeles, USA},
			Institution = {Department of Mathematics, University of California},
			Owner = {quoctd},
			Timestamp = {2012.06.29},
			Type = {Tech. Report.}
			}

			@Article{Goldstein2009,
			Title = {The split {B}regman method for $l_1$-pegularized problems},
			Author = {T. Goldstein and S. Osher},
			Journal = {SIAM J. Imaging Sciences},
			Year = {2009},
			Number = {2},
			Pages = {323--343},
			Volume = {2},

			File = {:Papers/Goldstein2009.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.11.23}
			}

			@InProceedings{Golovin2010,
			Title = {Near-optimal {B}ayesian active learning with noisy observations},
			Author = {Golovin, Daniel and Krause, Andreas and Ray, Debajyoti},
			Booktitle = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2010},

			Owner = {yhli},
			Timestamp = {2014.05.14}
			}

			@Book{Golub1996,
			Title = {{M}atrix {C}omputations},
			Author = {Golub, G.H. and Loan, {C.F. van}},
			Publisher = {Johns Hopkins University Press},
			Year = {1996},

			Address = {Baltimore},
			Edition = {3rd},

			Keywords = {computation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Golub1979,
			Title = {Generalized cross-validation as a method for choosing a good ridge parameter},
			Author = {Golub, Gene H. and Heath, Michael and Wahba, Grace},
			Journal = {Technometrics},
			Year = {1979},

			Month = may,
			Number = {2},
			Pages = {215--223},
			Volume = {21},

			Owner = {yhli},
			Timestamp = {2014.07.09}
			}

			@Book{Golub2012,
			Title = {Matrix computations},
			Author = {Golub, Gene H and Van Loan, Charles F},
			Publisher = {JHU Press},
			Year = {2012},
			Volume = {3},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Book{Golub1996a,
			Title = {Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)},
			Author = {Golub, Gene H. and Van Loan, Charles F. },
			Publisher = {{The Johns Hopkins University Press}},
			Year = {1996},
			Month = {October},

			Abstract = {{<P>Revised and updated, the third edition of Golub and Van Loan's classic text in computer science provides essential information about the mathematical background and algorithmic skills required for the production of numerical software. This new edition includes thoroughly revised chapters on matrix multiplication problems and parallel matrix computations, expanded treatment of CS decomposition, an updated overview of floating point arithmetic, a more accurate rendition of the modified Gram-Schmidt process, and new material devoted to GMRES, QMR, and other methods designed to handle the sparse unsymmetric linear system problem.</P>}},
			Citeulike-article-id = {252315},
			HowPublished = {Paperback},
			ISBN = {0801854148},
			Keywords = {compsci, cs, linearalgebra, math, mathematics, matrix},
			Owner = {baldazen},
			Posted-at = {2008-08-01 17:09:15},
			Priority = {2},
			Timestamp = {2008.09.24},
			Url = {http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20\&path=ASIN/0801854148}
			}

			@Article{Golub1999,
			Title = {Molecular classification of cancer: class discovery and class prediction by gene expression monitoring.},
			Author = {T. R. Golub and D. K. Slonim and P. Tamayo and C. Huard and M. Gaasenbeek and J. P. Mesirov and H. Coller and M. L. Loh and J. R. Downing and M. A. Caligiuri and C. D. Bloomfield and E. S. Lander},
			Journal = {Science},
			Year = {1999},

			Month = {Oct},
			Number = {5439},
			Pages = {531--537},
			Volume = {286},

			Abstract = {Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumors to known classes (class prediction). Here, a generic approach to cancer classification based on gene expression monitoring by DNA microarrays is described and applied to human acute leukemias as a test case. A class discovery procedure automatically discovered the distinction between acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) without previous knowledge of these classes. An automatically derived class predictor was able to determine the class of new leukemia cases. The results demonstrate the feasibility of cancer classification based solely on gene expression monitoring and suggest a general strategy for discovering and predicting cancer classes for other types of cancer, independent of previous biological knowledge.},
			File = {golub99molecular.pdf:BIO/golub99molecular.pdf:PDF},
			Keywords = {Acute Disease; Antineoplastic Combined Chemotherapy Protocols; Cell Adhesion; Cell Cycle; Gene Expression Profiling; Homeodomain Proteins; Humans; Leukemia, Lymphocytic, Acute; Leukemia, Myeloid; Neoplasm Proteins; Neoplasms; Oligonucleotide Array Sequence Analysis; Oncogenes; Predictive Value of Tests; Reproducibility of Results; Treatment Outcome},
			Owner = {luca},
			Pii = {7911},
			Pmid = {10521349},
			Timestamp = {2007.01.25}
			}

			@Article{Gondzio2010,
			Title = {Matrix-free interior point method},
			Author = {Gondzio, J.},
			Journal = {Comp. Opt. Apps.},
			Year = {2010},
			Note = {10.1007/s10589-010-9361-3},
			Pages = {1-24},

			Affiliation = {School of Mathematics and Maxwell Institute for Mathematical Sciences, The University of Edinburgh, Mayfield Road, Edinburgh, EH9 3JZ UK},
			File = {Gondzio2010.pdf:Gondzio2010.pdf:PDF},
			ISSN = {0926-6003},
			Keyword = {Computer Science},
			Owner = {quoctd},
			Publisher = {Springer Netherlands},
			Timestamp = {2013.08.23},
			Url = {http://dx.doi.org/10.1007/s10589-010-9361-3}
			}

			@InBook{Gondzio2006,
			Title = {Parallel Processing and Applied Mathematics PPAM 2005},
			Author = {J. Gondzio and A. Grothey},
			Chapter = {{D}irect {S}olution of {L}inear {S}ystems of {S}ize $109$ {A}rising in {O}ptimization with {I}nterior {P}oint {M}ethods},
			Editor = {R. Wyrzykowski and J. Dongarra and N. Meyer and J. Wasniewski.},
			Pages = {513--525},
			Publisher = {Springer-Verlag},
			Year = {2006},

			Owner = {quoctd},
			Timestamp = {2014.06.21}
			}

			@InProceedings{Gong2013,
			Title = {A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems},
			Author = {Gong, Pinghua and Zhang, Changshui and Lu, Zhaosong and Huang, Jianhua and Ye, Jieping},
			Booktitle = {Proc. Int. Conf. Mach. Learn. (ICML)},
			Year = {2013},
			Pages = {37--45},

			File = {gong2013general.pdf:gong2013general.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Gonzag1992,
			Title = {Path-following methods for linear programming},
			Author = {C. Gonzaga},
			Journal = {SIAM Rev.},
			Year = {1992},
			Number = {2},
			Pages = {167--224},
			Volume = {34},

			Owner = {quoctd},
			Timestamp = {2014.06.21}
			}

			@Article{Gonzaga2013,
			Title = {Fine tuning {N}esterov’s steepest descent algorithm for differentiable convex programming},
			Author = {C.C. Gonzaga and E.W. Karas},
			Journal = {Math. Program.},
			Year = {2013},
			Pages = {1--26},
			Volume = {xx},

			File = {:Papers/Gonzaga2013.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.01.14}
			}

			@InProceedings{Gordon1988,
			Title = {On {M}ilman's inequality and random subspaces which escape through a mesh in {$\mathbb{R}^n$}},
			Author = {Gordon, Y.},
			Booktitle = {Geometric Aspects of Functional Analysis: {I}srael Seminar ({GAFA}) 1986--87},
			Year = {1988},

			Address = {Berlin},
			Editor = {Lindenstrauss, Joram and Milman, Vitali D.},
			Publisher = {Springer-Verl.},

			Owner = {yhli},
			Timestamp = {2014.02.11}
			}

			@Article{Gorissen2012,
			Title = {Approximating the Pareto set of multiobjective linear programs via robust optimization},
			Author = {B.L. Gorissen and D. Den Hertog},
			Journal = {Oper. Res. Lett.},
			Year = {2012},
			Number = {5},
			Pages = {319--324},
			Volume = {40},

			File = {:Papers/Gorissen2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.22}
			}

			@Article{Gorski2007,
			Title = {Biconvex sets and optimization with biconvex functions: a survey and extensions},
			Author = {Gorski, J. and Pfeuffer, F. and Klamroth, K.},
			Journal = {Math. Methods Oper. Res.},
			Year = {2007},
			Number = {3},
			Pages = {373--407},
			Volume = {66},

			File = {gorski2007biconvex.pdf:Statistical Learning\\gorski2007biconvex.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Springer},
			Timestamp = {2014.11.25}
			}

			@Article{Gould2010,
			Title = {A Second Derivative SQP Method: Local Convergence and Practical Issues},
			Author = {Gould, N. and Robinson, D.},
			Journal = {SIAM J. Opt.},
			Year = {2010},
			Number = {4},
			Pages = {2049-2079},
			Volume = {20},

			Doi = {10.1137/080744554},
			Eprint = {http://epubs.siam.org/doi/pdf/10.1137/080744554},
			File = {Gould2010.pdf:Gould2010.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://epubs.siam.org/doi/abs/10.1137/080744554}
			}

			@Article{Goy2012,
			Title = {Digital confocal microscope},
			Author = {Goy, A. and Psaltis, D.},
			Journal = {Opt. Exp},
			Year = {2012},
			Number = {20},
			Pages = {22720},
			Volume = {20},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Book{Grama2003,
			Title = {{I}ntroduction to {P}arallel {C}omputing},
			Author = {A. Grama and G. Karypis and V. Kumar and A. Gupta},
			Publisher = {Addison--Wesley},
			Year = {2003},
			Edition = {2},

			Owner = {quoctd},
			Timestamp = {2012.10.11}
			}

			@InProceedings{Gramfort2009,
			Title = {Improving M/EEG source localizationwith an inter-condition sparse prior},
			Author = {Gramfort, A. and Kowalski, M.},
			Booktitle = {IEEE Int. Symp. Biomed. Imaging},
			Year = {2009},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Granek2005,
			Title = {Explicit equilibrium modeling of transcription-factor binding and gene regulation.},
			Author = {Joshua A Granek and Neil D Clarke},
			Journal = {Genome Bio.},
			Year = {2005},
			Number = {10},
			Pages = {R87},
			Volume = {6},

			Abstract = {We have developed a computational model that predicts the probability of transcription factor binding to any site in the genome. GOMER (generalizable occupancy model of expression regulation) calculates binding probabilities on the basis of position weight matrices, and incorporates the effects of cooperativity and competition by explicit calculation of coupled binding equilibria. GOMER can be used to test hypotheses regarding gene regulation that build upon this physically principled prediction of protein-DNA binding.},
			Doi = {10.1186/gb-2005-6-10-r87},
			File = {Granek05Equilibrium Modelling of TF.pdf:BIO/Granek05Equilibrium Modelling of TF.pdf:PDF},
			Keywords = {Binding, Competitive; Chromatin Immunoprecipitation; DNA-Binding Proteins; Forkhead Transcription Factors; Gene Expression Regulation; Genes, cdc; Models, Genetic; Nuclear Proteins; Oligonucleotide Array Sequence Analysis; Promoter Regions (Genetics); Protein Binding; Saccharomyces cerevisiae Proteins; Transcription Factors},
			Owner = {luca},
			Pii = {gb-2005-6-10-r87},
			Pmid = {16207358},
			Timestamp = {2007.01.25},
			Url = {http://dx.doi.org/10.1186/gb-2005-6-10-r87}
			}

			@InCollection{Grant2007,
			Title = {Graph Implementations for Nonsmooth Convex Programs},
			Author = {M. Grant and S. Boyd},
			Booktitle = {Recent Advances in Learning and Control},
			Publisher = {Springer},
			Year = {2007},
			Editor = {V. Blondel and S. Boyd and H. Kimura},
			Pages = {95--110},
			Series = {Lecture Notes in Control and Information Sciences},

			File = {:Papers/Grant2007.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@InCollection{Grant2006,
			Title = {Disciplined Convex Programming},
			Author = {M. Grant and S. Boyd and Y. Ye},
			Booktitle = {Global Optimization: From Theory to Implementation},
			Publisher = {Springer},
			Year = {2006},
			Editor = {L. Liberti and N. Maculan},
			Pages = {155--210},
			Series = {Nonconvex Optimization and its Applications},

			File = {:Papers/Grant2006.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@Misc{Gray2012,
			Title = {Parameters for a {J}aguar {X-T}ype},

			Author = {A. Gray and M. Zanon and J. Frasch},
			HowPublished = {\url{http://www.mathopt.de/RESEARCH/obstacleAvoidance.php}},
			Year = {2012},

			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.mathopt.de/RESEARCH/obstacleAvoidance.php}
			}

			@Article{Greenbaum2002,
			Title = {Analysis of mRNA expression and protein abundance data: an approach for the comparison of the enrichment of features in the cellular population of proteins and transcripts.},
			Author = {Dov Greenbaum and Ronald Jansen and Mark Gerstein},
			Journal = {Bioinformatics},
			Year = {2002},

			Month = {Apr},
			Number = {4},
			Pages = {585--596},
			Volume = {18},

			Abstract = {MOTIVATION: Protein abundance is related to mRNA expression through many different cellular processes. Up to now, there have been conflicting results on how correlated the levels of these two quantities are. Given that expression and abundance data are significantly more complex and noisy than the underlying genomic sequence information, it is reasonable to simplify and average them in terms of broad proteomic categories and features (e.g. functions or secondary structures), for understanding their relationship. Furthermore, it will be essential to integrate, within a common framework, the results of many varied experiments by different investigators. This will allow one to survey the characteristics of highly expressed genes and proteins. RESULTS: To this end, we outline a formalism for merging and scaling many different gene expression and protein abundance data sets into a comprehensive reference set, and we develop an approach for analyzing this in terms of broad categories, such as composition, function, structure and localization. As the various experiments are not always done using the same set of genes, sampling bias becomes a central issue, and our formalism is designed to explicitly show this and correct for it. We apply our formalism to the currently available gene expression and protein abundance data for yeast. Overall, we found substantial agreement between gene expression and protein abundance, in terms of the enrichment of structural and functional categories. This agreement, which was considerably greater than the simple correlation between these quantities for individual genes, reflects the way broad categories collect many individual measurements into simple, robust averages. In particular, we found that in comparison to the population of genes in the yeast genome, the cellular populations of transcripts and proteins (weighted by their respective abundances, the transcriptome and what we dub the translatome) were both enriched in: (i) the small amino acids Val, Gly, and Ala; (ii) low molecular weight proteins; (iii) helices and sheets relative to coils; (iv) cytoplasmic proteins relative to nuclear ones; and (v) proteins involved in 'protein synthesis,' 'cell structure,' and 'energy production.' SUPPLEMENTARY INFORMATION: http://genecensus.org/expression/translatome},
			File = {Greenbaum02mRNAanalysis.pdf:BIO/Greenbaum02mRNAanalysis.pdf:PDF},
			Keywords = {Algorithms; Database Management Systems; Databases, Nucleic Acid; Databases, Protein; Gene Expression; Gene Expression Profiling; Genome; Information Storage and Retrieval; Open Reading Frames; Proteins; Reference Values; Sensitivity and Specificity; Transcription, Genetic; Yeasts},
			Owner = {luca},
			Pmid = {12016056},
			Timestamp = {2007.02.15}
			}

			@Article{Gribonval2012,
			Title = {Compressible distributions for high-dimensional statistics},
			Author = {Gribonval, R\'{e}mi and Cevher, Volkan and Davies, Mike E.},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2012},
			Number = {8},
			Pages = {5016--5034},
			Volume = {58},

			Owner = {yhli},
			Timestamp = {2014.06.18}
			}

			@Article{Griesse2004,
			Title = {{E}valuating {G}radients in {O}ptimal {C}ontrol - {C}ontinuous {A}djoints versus {A}utomatic {D}ifferentiation},
			Author = {R. Griesse and A. Walther},
			Journal = {J. Opt. Theory and Apps.},
			Year = {2004},
			Number = {1},
			Pages = {63--86},
			Volume = {122},

			Keywords = {optimal control automatic differentiation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Griewank2000,
			Title = {{E}valuating {D}erivatives, {P}rinciples and {T}echniques of {A}lgorithmic {D}ifferentiation},
			Author = {A. Griewank},
			Publisher = {{SIAM}},
			Year = {2000},

			Address = {Philadelphia},
			Number = {19},
			Series = {Frontiers in Appl. Math.},

			Keywords = {automatic differentiation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Griewank2000a,
			Title = {{E}valuating {D}erivatives},
			Author = {Griewank, A.},
			Publisher = {{SIAM}},
			Year = {2000},

			Address = {Philadelphia},
			Series = {Frontiers in applied mathematics},

			Keywords = {automatic differentiation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Griewank1999,
			Title = {{ADOL-C}: {A} {P}ackage for the {A}utomatic {D}ifferentiation of {A}lgorithms {W}ritten in {C/C++}},
			Author = {A. Griewank and D. Juedes and H. Mitev and J. Utke and O. Vogel and A. Walther},
			Institution = {Technical University of Dresden, Institute of Scientific Computing and Institute of Geometry},
			Year = {1999},
			Note = {Updated version of the paper published in {\it {ACM} Trans. Math. Software} 22, 1996, 131--167},

			Ad_tools = {ADOL-C},
			Key = {Griewank1999AAP},
			Keywords = {automatic differentiation},
			Owner = {quoctd},
			Referred = {[Vogel2001AGT].},
			Timestamp = {2013.08.23}
			}

			@Article{Griewank2002,
			Title = {{O}n {C}onstrained {O}ptimization by {A}djoint based quasi-{N}ewton {M}ethods},
			Author = {A. Griewank and A. Walther},
			Journal = {Opt. Methods and Softw.},
			Year = {2002},
			Pages = {869 -- 889},
			Volume = {17},

			Keywords = {automatic differentiation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Grigorieff1983,
			Title = {{S}tability of {M}ultistep-{M}ethods on {V}ariable {G}rids},
			Author = {Grigorieff, R.D.},
			Journal = {Numerische {M}athematik},
			Year = {1983},
			Pages = {359--377},
			Volume = {42},

			Keywords = {ODE DAE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Grigorieff1991,
			Title = {A note on von Neumann?s trace inequality},
			Author = {Grigorieff, Rolf Dieter},
			Journal = {Math. Nachr},
			Year = {1991},
			Pages = {327--328},
			Volume = {151},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@InProceedings{Grimm2003,
			Title = {{E}xamples when {M}odel {P}redictive {C}ontrol is {N}onrobust},
			Author = {Grimm, G. and Messina, M.J. and Teel, A.R. and Tuna, S.},
			Booktitle = {Proc. Amer. Control Conf.},
			Year = {2003},

			Keywords = {robust NMPC optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Unpublished{Grimm2003a,
			Title = {{M}odel {P}redictive {C}ontrol: for want of a local control {L}yapunov function, all is not lost},
			Author = {Grimm, G. and Messina, M.J. and Teel, A.R. and Tuna, S.},
			Note = {submitted},
			Year = {2003},

			Keywords = {robust NMPC optimal control},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Groetsch1984,
			Title = {The theory of Tikhonov regularization for Fredholm equations of the first kind},
			Author = {Groetsch, C. W.},
			Publisher = {Pitman (Advanced Publishing Program)},
			Year = {1984},

			Address = {Boston, MA},
			Series = {Research Notes in Mathematics},
			Volume = {105},

			ISBN = {0-273-08642-1},
			Owner = {jmscarlett},
			Pages = {iv+104},
			Timestamp = {2014.11.25}
			}

			@Article{Grosenick2011,
			Title = {A family of interpretable multivariate models for regression and classification of whole-brain fMRI data},
			Author = {Grosenick, L. and Klingenberg, B. and Knutson, B. and Taylor, J.~E.},
			Journal = {ArXiv e-prints},
			Year = {2011},

			Month = oct,

			Adsnote = {Provided by the SAO/NASA Astrophysics Data System},
			Adsurl = {http://adsabs.harvard.edu/abs/2011arXiv1110.4139G},
			Archiveprefix = {arXiv},
			Eprint = {1110.4139},
			File = {grosenick2011family.pdf:NEURO\\grosenick2011family.pdf:PDF},
			Keywords = {Statistics - Applications},
			Owner = {jmscarlett},
			Primaryclass = {stat.AP},
			Timestamp = {2014.11.25}
			}

			@Article{Gross2011,
			Title = {Recovering low-rank matrices from few coefficients in any basis},
			Author = {Gross, David},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2011},

			Month = mar,
			Number = {3},
			Pages = {1548--1566},
			Volume = {57},

			Owner = {yhli},
			Timestamp = {2014.06.10}
			}

			@Article{Grossmann2002,
			Title = {{R}eview of {N}onlinear {M}ixed-{I}nteger and {D}isjunctive {P}rogramming {T}echniques},
			Author = {Grossmann, I.E.},
			Journal = {Optimization and Engineering},
			Year = {2002},
			Pages = {227--252},
			Volume = {3},

			File = {Grossmann2002.pdf:Grossmann2002.pdf:PDF},
			Keywords = {MINLP optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Grossmann1983,
			Title = {{O}ptimization {S}trategies for {F}lexible {C}hemical {P}rocesses.},
			Author = {I.E. Grossmann and K.P. Halemane and R.E. Swaney},
			Journal = {Comp. Chem. Eng.},
			Year = {1983},
			Pages = {439--462},
			Volume = {7},

			Keywords = {optimal control chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Grossmann1978,
			Title = {{O}ptimum design of chemical plants with uncertain parameters},
			Author = {Grossmann, I.E. and Sargent, R.W.H.},
			Journal = {{AIChE} Journal},
			Year = {1978},
			Pages = {1021--1028},
			Volume = {24},

			Keywords = {optimization chemistry robust},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Grunewalder2012,
			Title = {Modelling transition dynamics in mdps with rkhs embeddings},
			Author = {Grunewalder, S. and Lever, G. and Baldassarre, L. and Pontil, M. and Gretton, A.},
			Booktitle = {Proc. Int. Conf. Mach. Learn. (ICML)},
			Year = {2012},

			File = {grunewalder2012modelling.pdf:grunewalder2012modelling.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Gu1996,
			Title = {Efficient algorithms for computing a strong rank-revealing QR factorization},
			Author = {Gu, Ming and Eisenstat, Stanley C},
			Journal = {SIAM J. Sci. Comp.},
			Year = {1996},
			Number = {4},
			Pages = {848--869},
			Volume = {17},

			Owner = {jmscarlett},
			Publisher = {SIAM},
			Timestamp = {2014.11.25}
			}

			@Book{Guddat1990,
			Title = {{P}arametric {O}ptimization: {S}ingularities, {P}athfollowing and {J}umps},
			Author = {J. Guddat and F. Guerra Vasquez and H.T. Jongen},
			Publisher = {Teubner},
			Year = {1990},

			Address = {Stuttgart},

			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Guermeur2007,
			Title = {VC Theory of Large Margin Multi-Category Classifiers},
			Author = {Guermeur, Yann},
			Journal = {J. Mach. Learn. Res.},
			Year = {2007},
			Pages = {2551-2594},
			Volume = {8},

			File = {guermeur07vctheory.pdf:Statistical Learning/Multiclass/guermeur07vctheory.pdf:PDF},
			Owner = {baldazen},
			Timestamp = {2008.06.09}
			}

			@Article{GuerraVazquez2008,
			Title = {{G}eneralized semi-infinite programming: {A} tutorial},
			Author = {Guerra V\'{a}zquez,, F. and R\"{u}ckmann,, J. -J. and Stein,, O. and Still,, G.},
			Journal = {J. Comp. App. Math.},
			Year = {2008},
			Number = {2},
			Pages = {394--419},
			Volume = {217},

			Address = {Amsterdam, The Netherlands, The Netherlands},
			Doi = {http://dx.doi.org/10.1016/j.cam.2007.02.012},
			ISSN = {0377-0427},
			Owner = {quoctd},
			Publisher = {Elsevier Science Publishers B. V.},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Guh2000,
			Title = {{N}ested {G}raph {D}issection and {A}pproximation {A}lgorithms},
			Author = {S. Guha},
			Booktitle = {IEEE Symp. Found. Comp. Sci.},
			Year = {2000},
			Pages = {126--135},

			Keywords = {integer programming},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {citeseer.ist.psu.edu/guha00nested.html}
			}

			@InCollection{Guigue2005,
			Title = {Kernel basis pursuit},
			Author = {Guigue, V. and Rakotomamonjy, A. and Canu, S.},
			Booktitle = {Machine Learning: ECML 2005},
			Publisher = {Springer},
			Year = {2005},
			Pages = {146--157},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Guinney,
			Title = {Estimating variable structure and dependence in Multi-task learning via gradients},
			Author = {Guinney, J. and Wu, Q. and Mukherjee, S.},

			File = {:Statistical Learning/Multitask/guwumu08mtlgradients.pdf:PDF},
			Owner = {baldazen},
			Timestamp = {2008.09.19}
			}

			@InCollection{Gunter2006,
			Title = {Computing the Solution Path for the Regularized Support Vector Regression},
			Author = {Gunter, L. and Zhu, J.},
			Booktitle = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Publisher = {MIT Press},
			Year = {2006},

			Address = {Cambridge, MA},
			Editor = {Y. Weiss and B. Sch\"{o}lkopf and J. Platt},
			Pages = {483--490},

			File = {gunter2006computing.pdf:SVM\\gunter2006computing.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Guo2005,
			Title = {Mutual information and minimum mean-square error in {G}aussian channels},
			Author = {Guo, Dongning and Shamai (Shitz), Shlomo and Verd{\'{u}}, Sergio},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2005},

			Month = apr,
			Number = {4},
			Pages = {1261--1282},
			Volume = {51},

			Owner = {yhli},
			Timestamp = {2014.06.18}
			}

			@Article{Guo2007,
			Title = {Optimally sparse multidimensional representation using shearlets},
			Author = {Guo, Kanghui and Labate, Demetrio},
			Journal = {SIAM journal on mathematical analysis},
			Year = {2007},
			Number = {1},
			Pages = {298--318},
			Volume = {39},

			File = {guo2007optimally.pdf:guo2007optimally.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {SIAM},
			Timestamp = {2014.11.25}
			}

			@Article{Guo2012,
			Title = {Stability Analysis for Parametric Mathematical Programs with Geometric Constraints and Its Applications},
			Author = {L. Guo and G.-H. Lin and J.J. Ye},
			Journal = {SIAM J. Opt.},
			Year = {2012},
			Number = {3},
			Pages = {1151--1176},
			Volume = {22},

			File = {:Papers/Guo2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@Article{Guo2014,
			Title = {A New Detail-Preserving Regularization Scheme},
			Author = {Guo, Weihong and Qin, Jing and Yin, Wotao},
			Journal = {SIAM Journal on Imaging Sciences},
			Year = {2014},
			Number = {2},
			Pages = {1309--1334},
			Volume = {7},

			Owner = {jmscarlett},
			Publisher = {SIAM},
			Timestamp = {2014.11.25}
			}

			@Conference{Gupta2010,
			Title = {Regularized Maximum Likelihood for Intrinsic Dimension Estimatio},
			Author = {Gupta, M.D. and Huang, S. T.},
			Booktitle = {Conference on Uncertainty in Artificial Intelligence (UAI)},
			Year = {2010},

			File = {gupta2010regularized.pdf:Statistical Learning/EBB/gupta2010regularized.pdf:PDF},
			Owner = {baldassarre},
			Timestamp = {2010.10.01}
			}

			@Article{Guyon2003,
			Title = {An introduction to variable and feature selection},
			Author = {Isabelle Guyon and Andr\'{e} Elisseeff},
			Journal = {J. Mach. Learn. Res.},
			Year = {2003},
			Pages = {1157--1182},
			Volume = {3},

			Address = {Cambridge, MA, USA},
			File = {guyon2003introduction.pdf:Statistical Learning\\SPARSITY\\guyon2003introduction.pdf:PDF},
			ISSN = {1533-7928},
			Keywords = {feature selection, variable selection, statistical learning},
			Owner = {jmscarlett},
			Publisher = {MIT Press},
			Timestamp = {2014.11.25}
			}

			@Article{Haar1910,
			Title = {{Z}ur {T}heorie der orthogonalen {F}unktionen-{S}ysteme},
			Author = {A. Haar},
			Journal = {Math. Ann.},
			Year = {1910},
			Pages = {331--371},
			Volume = {69},

			Keywords = {miscellaneous},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Hachez2003,
			Title = {Optimization problems over nonnegative polynomials with interpolation constraints},
			Author = {Y. Hachez and Y. Nesterov},
			Institution = {CORE/UCL},
			Year = {2003},
			Number = {2003/34},
			Type = {CORE Discussion Paper},

			File = {:Papers/Hachez2003.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Hadamard1902,
			Title = {{Sur les problemes aux derivees partielles et leur signification physique}},
			Author = {Hadamard, J.},
			Journal = {Princeton University Bulletin},
			Year = {1902},
			Number = {1},
			Pages = {49--52},
			Volume = {13},

			Owner = {baldassarre},
			Timestamp = {2009.11.09}
			}

			@Article{Hadid2004,
			Title = {An Experimental Investigation about the Integration of Facial Dynamics in Video-Based Face Recognition},
			Author = {Abdenour Hadid and Matti Pietikäinen},
			Journal = {Elec. Let. Comp. Vis. and Image Anal.},
			Year = {2004},
			Pages = {1-13},
			Volume = {5},

			File = {HadidPietikainen04IntegrationFacialDynamics.pdf:VC/HadidPietikainen04IntegrationFacialDynamics.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.03.01}
			}

			@Book{Hairer1996,
			Title = {{S}olving {O}rdinary {D}ifferential {E}quations {II} -- {S}tiff and {D}ifferential-{A}lgebraic {P}roblems},
			Author = {Hairer, E. and N{\o}rsett, S.P. and Wanner, G.},
			Publisher = {Springer},
			Year = {1996},

			Address = {Berlin},
			Edition = {2nd},
			Series = {Springer Series in Computational Mathematics},

			Keywords = {ODE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Hale2008,
			Title = {Fixed-point continuation for $\ell_1$-minimization: methodology and convergence},
			Author = {E.T. Hale and W. Yin and Y. Zhang},
			Journal = {SIAM J. Opt.},
			Year = {2008},
			Number = {3},
			Pages = {1107--1130},
			Volume = {19},

			Owner = {quoctd},
			Timestamp = {2013.01.30}
			}

			@TechReport{Hale2007,
			Title = {A Fixed-Point Continuation Method for l1-Regularized Minimization with Applications to Compressed Sensing},
			Author = {Hale, E.T. and Yin, Y. and Zhang, Y.},
			Institution = {Deparment of Computational and Applied Mathematics, Rice University},
			Year = {2007},
			Number = {TR07-07},

			Owner = {baldassarre},
			Timestamp = {2011.11.23}
			}

			@InProceedings{Halemane1981,
			Title = {{O}ptimal process design under uncertainty},
			Author = {K.P. Halemane and I.E.Grossmann},
			Booktitle = {74-th Annual Meeting of the {AIChE}},
			Year = {1981},

			Address = {New Orleans},

			Keywords = {optimal control robust},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Halko2011,
			Title = {Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions},
			Author = {Halko, Nathan and Martinsson, Per-Gunnar and Tropp, Joel A},
			Journal = {SIAM Rev.},
			Year = {2011},
			Number = {2},
			Pages = {217--288},
			Volume = {53},

			Owner = {jmscarlett},
			Publisher = {SIAM},
			Timestamp = {2014.11.25}
			}

			@Article{Hamdi2005,
			Title = {Two-level primal-dual proximal decomposition technique to solve large-scale optimization problems},
			Author = {A. Hamdi},
			Journal = {App. Math. Comp.},
			Year = {2005},
			Pages = {921--938},
			Volume = {160},

			Owner = {quoctd},
			Timestamp = {2011.11.21}
			}

			@Article{Hamdi2005a,
			Title = {Decomposition for structured convex programs with smooth multiplier methods},
			Author = {A. Hamdi},
			Journal = {App. Math. Opt.},
			Year = {2005},
			Pages = {218--241},
			Volume = {169},

			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Article{Hamdi2011,
			Title = {Decomposition methods based on augmented {L}agrangians: A survey},
			Author = {A. Hamdi and S.K. Mishra},
			Journal = {Topics in Nonconvex Optimization: Theory and Application},
			Year = {2011},
			Pages = {175--203},

			File = {:Papers/Hamdi2005.pdf:PDF},
			Owner = {quoctd},
			Publisher = {Springer-Verlag},
			Timestamp = {2011.11.21}
			}

			@Article{Han2013,
			Title = {An {ADM}-based splitting method for separable convex programming},
			Author = {D. Han and X. Yuan and W. Zhang and X. Cai},
			Journal = {Comp. Opt. Apps.},
			Year = {2013},
			Pages = {1--23},
			Volume = {xx},

			File = {:Papers/Han2013.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.01.14}
			}

			@Article{Han1976,
			Title = {{S}uperlinearly convergent variable-metric algorithms for general nonlinear programming problems},
			Author = {Han, S.P.},
			Journal = {Math. Prog.},
			Year = {1976},
			Pages = {263--282},
			Volume = {11},

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			Author = {Jegelka, S. and Lin, H. and Bilmes, J.},
			Booktitle = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2011},
			Pages = {460--468},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Jenatton2011c,
			Title = {Structured Variable Selection with Sparsity-Inducing Norms},
			Author = {Jenatton, R. and Audibert, J.-Y. and Bach, F.},
			Journal = {J. Mach. Learn. Res.},
			Year = {2011},
			Pages = {2777-2824},
			Volume = {12},

			File = {jenatton2011structured.pdf:Statistical Learning\\SPARSITY\\jenatton2011structured.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@InProceedings{Jenatton2011,
			Title = {Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity},
			Author = {Jenatton, R. and Gramfort, A. and Michel, V. and Obozinski, G. and Bach, F. and Thirion, B.},
			Booktitle = {Pattern Recognition in NeuroImaging (PRNI)},
			Year = {2011},

			Doi = {10.1109/PRNI.2011.15},
			File = {jenatton2011multiscale.pdf:NEURO\\jenatton2011multiscale.pdf:PDF},
			Keywords = {cognitive information;fMRI data;feature agglomeration;functional magnetic resonance imaging data;hierarchical structured sparsity;inverse inference;multiscale mining;univariate feature selection;biomedical MRI;data mining;medical image processing;},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Jenatton2011a,
			Title = {Proximal Methods for Hierarchical Sparse Coding},
			Author = {Jenatton, R. and Mairal, J. and Obozinski, G. and Bach, F.},
			Journal = {J. Mach. Learn. Res.},
			Year = {2011},
			Pages = {2297-2334},
			Volume = {12},

			File = {jenatton2011proximal.pdf:Statistical Learning/SPARSITY/jenatton2011proximal.pdf:PDF},
			Owner = {baldassarre},
			Timestamp = {2012.05.14}
			}

			@Misc{Jensen2004,
			Title = {A Bayesian Clustering Model for Transcription Factor Binding Motifs},

			Author = {Shane T. Jensen and Jun S. Liu},
			HowPublished = {Poster},
			Year = {2004},

			File = {JensenLiu2004.pdf:BIO/JensenLiu2004.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.02.13}
			}

			@Article{Jensen2012,
			Title = {Implementation of an optimal first-order method for strongly convex total variation regularization},
			Author = {Jensen, T.L. and J{\o}rgensen, J.H. and Hansen, P.C. and Jensen, S.H.},
			Journal = {BIT Numer. Math.},
			Year = {2012},
			Pages = {329-356},
			Volume = {52},

			Doi = {10.1007/s10543-011-0359-8},
			File = {Jensen2012.pdf:Jensen2012.pdf:PDF},
			ISSN = {0006-3835},
			Issue = {2},
			Keywords = {Optimal first-order optimization methods; Strong convexity; Total variation regularization; Tomography; 65K10; 65R32},
			Language = {English},
			Owner = {quoctd},
			Publisher = {Springer Netherlands},
			Timestamp = {2013.08.23},
			Url = {http://dx.doi.org/10.1007/s10543-011-0359-8}
			}

			@Article{Ji2009a,
			Title = {Multi-label multiple kernel learning},
			Author = {Ji, S. and Sun, L. and Jin, R. and Ye, J.},
			Journal = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2009},
			Volume = {21},

			File = {ji2009multi.pdf:Statistical Learning\\Kernel Learning\\ji2009multi.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Citeseer},
			Timestamp = {2014.11.25}
			}

			@InProceedings{Ji2009,
			Title = {An accelerated gradient method for trace norm minimization},
			Author = {Ji, S. and Ye, J.},
			Booktitle = {Proc. Int. Conf. Mach. Learn. (ICML)},
			Year = {2009},
			Organization = {ACM},
			Pages = {457--464},

			File = {ji2009accelerated.pdf:Optimization/ji2009accelerated.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Jiang2012,
			Title = {An Inexact accelerated proximal gradient method for large scale linearly constrained convex {SDP}},
			Author = {K. Jiang and D. Sun and K.C. Toh},
			Journal = {SIAM J. Opt.},
			Year = {2012},
			Number = {3},
			Pages = {1042--1064},
			Volume = {22},

			File = {:Papers/Jiang2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.24}
			}

			@Article{Jiang2014,
			Title = {Minimax optimal rates for {P}oisson inverse problems with physical constraints},
			Author = {Jiang, Xin and Raskutti, Garvesh and Willett, Rebecca},
			Year = {2014},
			Note = {arXiv:1403.6532v1 [math.ST]},

			Owner = {yhli},
			Timestamp = {2014.08.18}
			}

			@Article{Jin2011,
			Title = {Limits on Support Recovery of Sparse Signals via Multiple-Access Communication Techniques},
			Author = {Yuzhe Jin and Young-Han Kim and Rao, B.D.},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2011},

			Month = {Dec},
			Number = {12},
			Pages = {7877-7892},
			Volume = {57},

			ISSN = {0018-9448},
			Owner = {jmscarlett}
			}

			@PhdThesis{Johansson2008,
			Title = {{O}n {D}istributed {O}ptimization in {N}etworked {S}ystems},
			Author = {B. Johansson},
			School = {Automatic Control Laboratory, School of Electrical Engineering, Royal Institute of Technology (KTH)},
			Year = {2008},

			Address = {SE-100 44 Stockholm, Sweden},
			Type = {PhD Thesis},

			Owner = {quoctd},
			Timestamp = {2012.10.11}
			}

			@InProceedings{Johansson2009,
			Title = {Distributed non-smooth resource allocation over a network},
			Author = {B. Johansson and M. Johansson},
			Booktitle = {Proc. IEEE conference on Decision and Control},
			Year = {2009},
			Pages = {1678--1683},

			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Article{Johansson2009a,
			Title = {A randomized incremental subgradient method for distributed optimization in networked systems},
			Author = {Johansson, B. and Rabi, M. and Johansson, M.},
			Journal = {SIAM J. Opt.zation},
			Year = {2009},
			Number = {3},
			Pages = {1157--1170},
			Volume = {20},

			Owner = {quoctd},
			Timestamp = {2012.08.17}
			}

			@Book{Johnson2005,
			Title = {Univariate Discrete Distributions},
			Author = {Johnson, Norman L. and Kemp, Adrienne W. and Kotz, Samuel},
			Publisher = {Wiley-Intersci.},
			Year = {2005},

			Address = {Hoboken, NJ},
			Edition = {third},

			Owner = {yhli},
			Timestamp = {2014.08.22}
			}

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			Author = {Johnstone, I.},
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			Year = {2001},
			Pages = {295--327},

			Owner = {jmscarlett},
			Publisher = {JSTOR},
			Timestamp = {2014.11.25}
			}

			@InProceedings{Jojic2011,
			Title = {Convex envelopes of complexity controlling penalties: the case against premature envelopment},
			Author = {Jojic, Vladimir and Saria, Suchi and Koller, Daphne},
			Booktitle = {Int. Conf. Art. Intel. Stats. (AISTATS)},
			Year = {2011},
			Pages = {399--406},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Misc{Jones2001,
			Title = {{SciPy}: Open source scientific tools for {Python}},

			Author = {Eric Jones and Travis Oliphant and Pearu Peterson and others},
			Year = {2001--},

			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.scipy.org/}
			}

			@Article{Jordan2013,
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			Author = {Jordan, Michael I.},
			Journal = {Bernoulli},
			Year = {2013},
			Number = {4},
			Pages = {1378--1390},
			Volume = {19},

			Owner = {yhli},
			Timestamp = {2014.07.02}
			}

			@Article{Jordan1999,
			Title = {An Introduction to Variational Methods for Graphical Models},
			Author = {Michael I. Jordan and Zoubin Ghahramani and Tommi Jaakkola and Lawrence K. Saul},
			Journal = {Mach. Learn.},
			Year = {1999},
			Pages = {183-233},
			Volume = {37},

			File = {:Statistical Learning/jordan98introduction.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.26},
			Url = {citeseer.ist.psu.edu/jordan98introduction.html}
			}

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			Title = {On inner products in linear, metric spaces},
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			Journal = {Ann. Math.},
			Year = {1935},

			Month = jul,
			Number = {3},
			Pages = {719--723},
			Volume = {36},

			Owner = {yhli},
			Timestamp = {2014.04.14}
			}

			@Article{Joseph1961,
			Title = {{O}n {L}inear {C}ontrol {T}heory},
			Author = {P.D. Joseph and J.T. Tou},
			Journal = {AIEE Trans.},
			Year = {1961},
			Number = {18},
			Volume = {80},

			Key = {Part II},
			Keywords = {optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Journee2010,
			Title = {Generalized power method for sparse principal component analysis},
			Author = {M. Journ\'{e}e and Y. Nesterov and P. Richt\'{a}rik and R. Sepulchre},
			Journal = {J. Mach. Learn. Res.},
			Year = {2010},
			Pages = {517--553},
			Volume = {11},

			File = {:Papers/Journee2010.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Juang1991,
			Title = {Hidden Markov models for speech recognition},
			Author = {Juang, Biing-Hwang and Rabiner, Laurence R},
			Journal = {Technometrics},
			Year = {1991},
			Number = {3},
			Pages = {251--272},
			Volume = {33},

			File = {juang1991hmm.pdf:juang1991hmm.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Taylor \& Francis},
			Timestamp = {2014.11.25}
			}

			@Article{Juditsky2013,
			Title = {Randomized first order algorithms with applications to $l_1$-minimization},
			Author = {A. Juditsky and F.K. Karzan and A. Nemirovski},
			Journal = {Math. Program.},
			Year = {2013},
			Pages = {1--42},
			Volume = {xx},

			File = {:Papers/Juditsky2013.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.01.14}
			}

			@Article{Juditsky2000,
			Title = {Functional aggregation for nonparametric regression},
			Author = {Juditsky, Anatoli and Nemirovski, Arkadii},
			Journal = {Ann. Stats.},
			Year = {2000},
			Number = {3},
			Pages = {681--712},
			Volume = {28},

			Owner = {yhli},
			Timestamp = {2014.11.05}
			}

			@Article{Juditsky2014,
			Title = {Deterministic and stochastic primal-dual subgradient algorithms for uniformly convex minimization},
			Author = {Juditsky, Anatoli and Nesterov, Yuri},
			Journal = {Stoch. Syst.},
			Year = {2014},
			Number = {0},
			Pages = {1--37},
			Volume = {4},

			Owner = {yhli},
			Timestamp = {2014.08.19}
			}

			@Article{Juditsky2010,
			Title = {Primal-dual subgradient methods for minimizing uniformly convex function},
			Author = {A. Juditsky and Y. Nesterov},
			Journal = {CORE Discussion Paper},
			Year = {2010},
			Pages = {1--29},
			Volume = {August},

			File = {:Papers/Juditsky2010.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@InProceedings{Julier1995,
			Title = {{N}avigation and {P}arameter {E}stimation of {H}igh {S}peed {R}oad {V}ehicles},
			Author = {S.J. Julier and H.F. Durrant-Whyte},
			Booktitle = {Robotics and Automation Conference},
			Year = {1995},

			Address = {Nagoya},
			Pages = {101--105},

			Keywords = {parameter estimation mechanics},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Julier2004,
			Title = {{U}nscented filtering and nonlinear estimation},
			Author = {Julier, S.J. and Uhlmann, J.K.},
			Journal = {Proc. IEEE},
			Year = {2004},
			Number = {3},
			Pages = { 401- 422},
			Volume = {92},

			Keywords = {parameter estimation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Julier2002,
			Title = {{T}he scaled unscented transformation},
			Author = {Julier, S.J. and Uhlmann, J.K.},
			Booktitle = {Proc. Amer. Control Conf.},
			Year = {2002},
			Pages = {4555--4559},

			Keywords = {parameter estimation mechanics},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Julier2000,
			Title = {{A} new method for the nonlinear transformation of means and covariances in filters and estimators},
			Author = {S.J. Julier and J.K. Uhlmann and H.F. Durrant-Whyte},
			Journal = {IEEE Trans. Aut. Control},
			Year = {2000},
			Pages = {477--482},
			Volume = {45},

			File = {:Julier2000.pdf:PDF},
			Keywords = {parameter estimation mechanics, unscented Kalman filter},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Junkins1986,
			Title = {Optimal spacecraft rotational maneuvers},
			Author = {J.L. Junkins and J.D. Turner},
			Editor = {Amsterdam},
			Publisher = {Elsevier},
			Year = {1986},

			Owner = {quoctd},
			Timestamp = {2012.04.08}
			}

			@Article{Jurman2008,
			Title = {Algebraic stability indicators for ranked lists in molecular profiling},
			Author = {Giuseppe Jurman and Stefano Merler and Annalisa Barla and Silvano Paoli and Antonio Galea and Cesare Furlanello},
			Journal = {Bioinformatics},
			Year = {2008},

			Month = {Jan},
			Number = {2},
			Pages = {258--264},
			Volume = {24},

			Abstract = {MOTIVATION: We propose a method for studying the stability of biomarker lists obtained from functional genomics studies. It is common to adopt resampling methods to tune and evaluate marker-based diagnostic and prognostic systems in order to prevent selection bias. Such caution promotes honest estimation of class prediction, but leads to alternative sets of solutions. In microarray studies, the difference in lists may be bewildering, also due to the presence of modules of functionally related genes. Methods for assessing stability understand the dependency of the markers on the data or on the predictor's type and help selecting solutions. RESULTS: A computational framework for comparing sets of ranked biomarker lists is presented. Notions and algorithms are based on concepts from permutation group theory. We introduce several algebraic indicators and metric methods for symmetric groups, including the Canberra distance, a weighted version of Spearman's footrule. We also consider distances between partial lists and an aggregation of sets of lists into an optimal list based on voting theory (Borda count). The stability indicators are applied in practical situations to several synthetic, cancer microarray and proteomics datasets. The addressed issues are predictive classification, presence of modules, comparison of alternative biomarker lists, outlier removal, control of selection bias by randomization techniques and enrichment analysis. AVAILABILITY: Supplementary Material and software are available at the address http://biodcv.fbk.eu/listspy.html},
			Doi = {10.1093/bioinformatics/btm550},
			File = {jurman08algebraic.pdf:BIO/jurman08algebraic.pdf:PDF},
			Keywords = {Algorithms; Data Interpretation, Statistical; Gene Expression Profiling; Humans; Neoplasm Proteins; Neoplasms; Oligonucleotide Array Sequence Analysis; Reproducibility of Results; Sensitivity and Specificity; Tumor Markers, Biological},
			Owner = {baldazen},
			Pii = {btm550},
			Pmid = {18024475},
			Timestamp = {2008.02.27},
			Url = {http://dx.doi.org/10.1093/bioinformatics/btm550}
			}

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			Title = {{N}umerische {M}ethoden f\"ur {O}ptimale {V}ersuchsplanungsprobleme bei nichtlinearen {DAE}-{M}odellen},
			Author = {K\"orkel, S.},
			School = {Universit\"at {H}eidelberg},
			Year = {2002},

			Address = {Heidelberg},

			File = {Koerkel2002.pdf:Koerkel2002.pdf:PDF},
			Keywords = {agbock experimental design DAE},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.koerkel.de}
			}

			@InProceedings{Koerkel2004a,
			Title = {{N}umerical {M}ethods for {N}onlinear {E}xperimental {D}esign},
			Author = {S. K\"orkel and E. Kostina},
			Booktitle = {Modeling, Sim. and Opt. of Complex Processes},
			Year = {2004},

			Address = {Hanoi, Vietnam},
			Editor = {H. G. Bock and E. Kostina and H. X. Phu and R. Rannacher},
			Pages = {255--272},
			Publisher = {Springer},

			File = {Koerkel2004a.pdf:Koerkel2004a.pdf:PDF},
			Journal = {Opt. Methods and Softw.},
			Keywords = {agbock experimental design robust},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Koerkel2004,
			Title = {{N}umerical methods for optimal control problems in design of robust optimal experiments for nonlinear dynamic processes},
			Author = {S. K\"orkel and E. Kostina and H.G. Bock and J.P. Schl\"oder},
			Journal = {Opt. Methods and Softw.},
			Year = {2004},
			Pages = {327--338},
			Volume = {19},

			File = {Koerkel2004.pdf:Koerkel2004.pdf:PDF},
			Keywords = {agbock experimental design robust},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Kuehl2003,
			Title = {{E}valuation of {A}spentech's {APOLLO} {N}onlinear {M}odel {P}redictive {C}ontroller},
			Author = {P. K\"uhl},
			Institution = {BASF},
			Year = {2003},

			Keywords = {agbock NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@MastersThesis{Kuehn2002,
			Title = {{M}odellierung und {O}ptimierung einer {A}minos\"aurefermentation},
			Author = {K\"uhn, A.},
			School = {Universit\"at Freiberg},
			Year = {2002},

			Keywords = {chemistry optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Title = {Principles of Computerized Tomographic Imaging},
			Author = {Kak, Avinash C. and Slaney, Malcolm},
			Chapter = {4},
			Pages = {113--175},
			Publisher = {SIAM},
			Year = {2001},

			Address = {Philadelphia, PA},

			Owner = {yhli},
			Timestamp = {2014.08.14}
			}

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			Title = {On the complexity of linear prediction: Risk bounds, margin bounds, and regularization},
			Author = {Kakade, S.M. and Sridharan, K. and Tewari, A.},
			Journal = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2008},
			Pages = {793--800},
			Volume = {22},

			File = {kakade2008complexity.pdf:Statistical Learning/kakade2008complexity.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@InProceedings{Kakade2010,
			Title = {Learning exponential families in high-dimensions: Strong convexity and sparsity},
			Author = {Kakade, Sham M. and Shamir, Ohad and Sridharan, Karthik and Tewari, Ambuj},
			Booktitle = {Int. Conf. Art. Intel. Stats. (AISTATS)},
			Year = {2010},

			Owner = {yhli},
			Timestamp = {2014.08.13}
			}

			@Article{Kallrath1993,
			Title = {{L}east {S}quares {P}arameter {E}stimation in {C}haotic {D}ifferential {E}quations},
			Author = {Kallrath, J. and H.G. Bock and J.P. Schl\"oder},
			Journal = {Celestial Mechanics and Dynamical Astronomy},
			Year = {1993},
			Pages = {353--371},
			Volume = {56},

			Keywords = {agbock parameter estimation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Kalm1963,
			Title = {{L}yapunov functions for the problem of {L}ur'e in automatic control},
			Author = {R.E. Kalman},
			Journal = {Proc. Nat. Acad. Sci.},
			Year = {1963},
			Pages = {pp. 201-205},
			Volume = {49},

			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Kalm1960a,
			Title = {{C}ontrol system analysis and design by the second method of {L}yapunov},
			Author = {R.E. Kalman},
			Journal = {Trans. {ASME} Ser. D.J. Basic Engrg.},
			Year = {1960},
			Pages = {pp. 371-400},
			Volume = {82},

			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Kaminski2008,
			Title = {Quadratic programming on graphs without long odd cycles},
			Author = {Kami{\'n}ski, Marcin},
			Year = {2008},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Kannan2012,
			Title = {Distributed computation of equilibria in monotone {N}ash games via Iterative regularization techniques},
			Author = {A. Kannan and U.V. Shanbhag},
			Journal = {SIAM J. Opt.},
			Year = {2012},
			Number = {4},
			Pages = {1177--1205},
			Volume = {22},

			File = {:Papers/Kannan2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.24}
			}

			@Article{Kanzow2005,
			Title = {Successive linearization methods for nonlinear semidefinite programs},
			Author = {C. Kanzow and C. Nagel and H. Kato and M. Fukushima},
			Journal = {Comp. Opt. Apps.},
			Year = {2005},
			Pages = {251--273},
			Volume = {31},

			Owner = {quoctd},
			Timestamp = {2012.04.08}
			}

			@TechReport{Kar2001,
			Title = {Optimization based rate control for multipath sessions},
			Author = {K. Kar and S. Sarkar and L. Tassiulas},
			Institution = {Inst. Syst. Res., Univ. Maryland},
			Year = {2001},

			Address = {College Park, MD},
			Number = {ISR TR 2001-1},
			Type = {Tech. Rep.},

			Owner = {quoctd},
			Timestamp = {2014.10.10}
			}

			@Article{Karas2008,
			Title = {Optimal steepest descent algorithms for unconstrained convex problems: fine tuning {N}esterov's method},
			Author = {C.C. Gonzaga E.W. Karas},
			Journal = {Optimization Online},
			Year = {2008},
			Pages = {1--21},
			Volume = {July},

			File = {:Papers/Karas2008.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Karas2009,
			Title = {A bundle-filter method for nonsmooth convex constrained optimization},
			Author = {E. Karas and A. Ribeiro and C. Sagastizabal and M. Solodov},
			Journal = {Math. Program.},
			Year = {2009},
			Pages = {297--320},
			Volume = {116},

			Owner = {quoctd},
			Timestamp = {2014.04.08}
			}

			@Book{Karp1972,
			Title = {Reducibility among combinatorial problems},
			Author = {Karp, Richard M},
			Publisher = {Springer},
			Year = {1972},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@MastersThesis{Karush1939,
			Title = {{M}inima of functions of several variables with inequalities as side conditions},
			Author = {Karush, W.},
			School = {Department of Mathematics, University of Chicago},
			Year = {1939},

			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Kato2007,
			Title = {An {SQP}-type algorithm for nonlinear second-order cone programs},
			Author = {H. Kato and M. Fukushima},
			Journal = {Optimization Letters},
			Year = {2007},
			Pages = {129--144},
			Volume = {1},

			Owner = {quoctd},
			Timestamp = {2012.04.08}
			}

			@Article{Kato2008,
			Title = {Multi-task learning via conic programming},
			Author = {Kato, T. and Kashima, H. and Sugiyama, M. and Asai, K.},
			Journal = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2008},
			Pages = {737--744},
			Volume = {20},

			File = {kato2008multitask.pdf:Statistical Learning/Multitask/kato2008multitask.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Citeseer},
			Timestamp = {2014.11.25}
			}

			@Article{Kay2008,
			Title = {Identifying natural images from human brain activity},
			Author = {Kay, K.N. and Naselaris, T. and Prenger, R.J. and Gallant, J.L.},
			Journal = {Nature},
			Year = {2008},
			Number = {7185},
			Pages = {352--355},
			Volume = {452},

			File = {kay2008identifying.pdf:NEURO\\kay2008identifying.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {[London: Macmillan Journals], 1869-},
			Timestamp = {2014.11.25}
			}

			@Article{Keerthi1988,
			Title = {{O}ptimal infinite-horizon feedback laws for a general class of constrained discrete-time systems: {S}tability and moving-horizon approximations},
			Author = {Keerthi, S.S. and Gilbert, E.G.},
			Journal = {J. Opt. Theory and Apps.},
			Year = {1988},
			Number = {2},
			Pages = {265--293},
			Volume = {57},

			File = {Keerthi1988.pdf:Keerthi1988.pdf:PDF},
			Keywords = {optimal control NMPC},
			Mlanguage = {D},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Kefayati2013,
			Title = {Semi-Spatio Temporal fMRI Brain Decoding},
			Author = {Kefayati, Mohammad Hadi and Sheikhzadeh, Hamid and Rabiee, Hamid R and Soltani-Farani, Ali},
			Booktitle = {Int. Workshop Pattern Recog. Neuroimaging},
			Year = {2013},

			File = {kefayati2013semispationtemporal.pdf:NEURO/kefayati2013semispationtemporal.pdf:PDF},
			Owner = {baldassarre},
			Timestamp = {2013.09.05}
			}

			@Article{Keiper1991,
			Title = {{T}he analysis of generalized backwards difference formula methods applied to {H}essenberg form differential-algebraic equations},
			Author = {Keiper, J.B. and Gear, C.W.},
			Journal = {{SIAM} Journal on Numeric al Analysis},
			Year = {1991},
			Number = {3},
			Pages = {833--858},
			Volume = {28},

			Keywords = {DAE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Kekatos2013,
			Title = {Distributed robust power system state estimation},
			Author = {Kekatos, Vassilis and Giannakis, Geogios B.},
			Journal = {IEEE Trans. Power Syst.},
			Year = {2013},

			Month = may,
			Number = {2},
			Pages = {1617--1626},
			Volume = {28},

			Owner = {yhli},
			Timestamp = {2014.11.06}
			}

			@InProceedings{Kellett2002,
			Title = {{O}n {R}obustness of {S}tability and {L}yapunov {F}unctions for {D}iscontinuous {D}ifference {E}quations},
			Author = {Kellett, C.M. and Teel, A.R.},
			Booktitle = cdc42,
			Year = {2002},

			Address = {Las Vegas, USA},
			Pages = {4282--4287},

			Keywords = {robust optimal control},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Kelner2014,
			Title = {An almost-linear-time algorithm for approximate max flow in undirected graphs, and its multicommodity generalizations},
			Author = {Kelner, Jonathan A. and Lee, Yin Tat and Orecchia, Lorenzo and Sidford, Aaron},
			Booktitle = {Proc. ACM-SIAM Symp. Discrete Algorithms},
			Year = {2014},
			Pages = {217--226},

			Owner = {yhli},
			Timestamp = {2014.02.26}
			}

			@Book{Kendall1957,
			Title = {A Course in Multivariate Analysis},
			Author = {Kendall, M.},
			Publisher = {Griffin},
			Year = {1957},

			Address = {London},

			Owner = {baldazen},
			Timestamp = {2008.06.27}
			}

			@Article{Kerrigan2004,
			Title = {{F}eedback min-max model predictive control using a single linear program: {R}obust stability and the explicit solution},
			Author = {E.C. Kerrigan and J.M. Maciejowski},
			Journal = {Int. J. Robust and Nonlinear Control},
			Year = {2004},
			Pages = {395--413},
			Volume = {14},

			Keywords = {robust optimal control NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Kerrigan2003,
			Title = {{R}obustly stable feedback min-max model predictive control},
			Author = {E.C. Kerrigan and J.M. Maciejowski},
			Booktitle = {Proc. Amer. Control Conf.},
			Year = {2003},

			Address = {Denver, Colorado, USA},
			Month = {June},

			Keywords = {robust optimal control NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Kerrigan2002,
			Title = {{F}eedback min-max model predictive control using a single linear program: {R}obust stability and the explicit solution},
			Author = {E.C. Kerrigan and J.M. Maciejowski},
			Institution = {Cambridge University Engineering Department},
			Year = {2002},
			Month = {October},
			Number = {440},

			Key = {CUED/F-INFENG},
			Keywords = {robust optimal control NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Khalil1996,
			Title = {{N}onlinear {S}ystems},
			Author = {Khalil, H.K.},
			Publisher = {Prentice Hall},
			Year = {1996},

			Address = {Upper Saddle River, NJ},
			Edition = {Second},

			Date = {26.11.1997},
			Keywords = {optimal control},
			Owner = {quoctd},
			Signature = {eric},
			Timestamp = {2013.08.23}
			}

			@Article{Khuller1999,
			Title = {The budgeted maximum coverage problem},
			Author = {Khuller, Samir and Moss, Anna and Naor, Joseph Seffi},
			Journal = {Information Processing Letters},
			Year = {1999},
			Number = {1},
			Pages = {39--45},
			Volume = {70},

			File = {khuller1999budgeted.pdf:khuller1999budgeted.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Elsevier},
			Timestamp = {2014.11.25}
			}

			@Article{Kienle2000,
			Title = {{L}ow-order dynamic models for ideal multicomponent distillation processes using nonlinear wave propagation theory},
			Author = {Kienle, A.},
			Journal = {Chem. Eng. Sci.},
			Year = {2000},
			Pages = {1817--1828},
			Volume = {55},

			Keywords = {chemistry model reduction},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Kim2008,
			Title = {Clustering of change patterns using Fourier coefficients.},
			Author = {Jaehee Kim and Haseong Kim},
			Journal = {Bioinformatics},
			Year = {2008},

			Month = {Jan},
			Number = {2},
			Pages = {184--191},
			Volume = {24},

			Abstract = {MOTIVATION: To understand the behavior of genes, it is important to explore how the patterns of gene expression change over a time period because biologically related gene groups can share the same change patterns. Many clustering algorithms have been proposed to group observation data. However, because of the complexity of the underlying functions there have not been many studies on grouping data based on change patterns. In this study, the problem of finding similar change patterns is induced to clustering with the derivative Fourier coefficients. The sample Fourier coefficients not only provide information about the underlying functions, but also reduce the dimension. In addition, as their limiting distribution is a multivariate normal, a model-based clustering method incorporating statistical properties would be appropriate. RESULTS: This work is aimed at discovering gene groups with similar change patterns that share similar biological properties. We developed a statistical model using derivative Fourier coefficients to identify similar change patterns of gene expression. We used a model-based method to cluster the Fourier series estimation of derivatives. The model-based method is advantageous over other methods in our proposed model because the sample Fourier coefficients asymptotically follow the multivariate normal distribution. Change patterns are automatically estimated with the Fourier representation in our model. Our model was tested in simulations and on real gene data sets. The simulation results showed that the model-based clustering method with the sample Fourier coefficients has a lower clustering error rate than K-means clustering. Even when the number of repeated time points was small, the same results were obtained. We also applied our model to cluster change patterns of yeast cell cycle microarray expression data with alpha-factor synchronization. It showed that, as the method clusters with the probability-neighboring data, the model-based clustering with our proposed model yielded biologically interpretable results. We expect that our proposed Fourier analysis with suitably chosen smoothing parameters could serve as a useful tool in classifying genes and interpreting possible biological change patterns. AVAILABILITY: The R program is available upon the request.},
			Doi = {10.1093/bioinformatics/btm568},
			File = {kim08clustering.pdf:BIO/Gene Expression/kim08clustering.pdf:PDF},
			Keywords = {Algorithms; Artificial Intelligence; Cluster Analysis; Fourier Analysis; Gene Expression Profiling; Multigene Family; Oligonucleotide Array Sequence Analysis; Pattern Recognition, Automated; Saccharomyces cerevisiae Proteins},
			Owner = {baldazen},
			Pii = {btm568},
			Pmid = {18025003},
			Timestamp = {2008.02.11},
			Url = {http://dx.doi.org/10.1093/bioinformatics/btm568}
			}

			@Conference{Kim2010a,
			Title = {Fast active-set-type algorithms for $\ell_1$-regularized linear regression},
			Author = {J. Kim and H. Park},
			Booktitle = {Int. Conf. Art. Intel. Stats. (AISTATS)},
			Year = {2010},

			Address = {Sardinia, Italy},
			Pages = {397--404},
			Volume = {9},

			Owner = {quoctd},
			Timestamp = {2013.07.17}
			}

			@Article{Kim2003,
			Title = {Bioinformatic principles underlying the information content of transcription factor binding sites.},
			Author = {Jan T Kim and Thomas Martinetz and Daniel Polani},
			Journal = {J Theor Biol},
			Year = {2003},

			Month = {Feb},
			Number = {4},
			Pages = {529--544},
			Volume = {220},

			Abstract = {Empirically, it has been observed in several cases that the information content of transcription factor binding site sequences (R(sequence)) approximately equals the information content of binding site positions (R(frequency)). A general framework for formal models of transcription factors and binding sites is developed to address this issue. Measures for information content in transcription factor binding sites are revisited and theoretic analyses are compared on this basis. These analyses do not lead to consistent results. A comparative review reveals that these inconsistent approaches do not include a transcription factor state space. Therefore, a state space for mathematically representing transcription factors with respect to their binding site recognition properties is introduced into the modelling framework. Analysis of the resulting comprehensive model shows that the structure of genome state space favours equality of R(sequence) and R(frequency) indeed, but the relation between the two information quantities also depends on the structure of the transcription factor state space. This might lead to significant deviations between R(sequence) and R(frequency). However, further investigation and biological arguments show that the effects of the structure of the transcription factor state space on the relation of R(sequence) and R(frequency) are strongly limited for systems which are autonomous in the sense that all DNA-binding proteins operating on the genome are encoded in the genome itself. This provides a theoretical explanation for the empirically observed equality.},
			File = {KiMaPo03.pdf:BIO/KiMaPo03.pdf:PDF},
			Keywords = {Animals; Binding Sites; Computational Biology; Computer Simulation; Genome; Models, Genetic; Mutation; Transcription Factors},
			Owner = {luca},
			Pii = {S0022519303931535},
			Pmid = {12623284},
			Timestamp = {2007.02.13}
			}

			@TechReport{Kim,
			Title = {A Computationally Efficient Oracle Estimator for Additive Nonparametric Regression with Bootstrap Confidence Intervalsx},
			Author = {Kim, Linton, Hengartner},

			File = {A Computationally Efficient Oracle Estimator for Additive Nonparametri Regression with Bootstrap .pdf:Statistical Learning/A Computationally Efficient Oracle Estimator for Additive Nonparametri Regression with Bootstrap .pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.26}
			}

			@Article{Kim2002,
			Title = {On the projection of the efficient set and potential applications},
			Author = {N.T.B. Kim and L.D. Muu},
			Journal = {Optimization},
			Year = {2002},
			Number = {2},
			Pages = {401--421},
			Volume = {51},

			File = {:Papers/Kim2002.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@TechReport{Kim2010,
			Title = {Exploiting Sparsity in Linear and Nonlinear Matrix Inequalities via Positive Semidefinite Matrix Completion},
			Author = {S. Kim and M. Kojima and M. Mevissen and M. Yamashita},
			Institution = {Department of Mathematical and Computing Sciences Tokyo Institute of Technology},
			Year = {2010},
			Type = {Tech. Report.},

			File = {:Papers/Kim2010.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@InProceedings{Kim2010b,
			Title = {Tree-guided group lasso for multi-task regression with structured sparsity},
			Author = {Kim, S. and Xing, E.},
			Booktitle = {Proc. Int. Conf. Mach. Learn. (ICML)},
			Year = {2010},
			Pages = {543--550},

			File = {kim2010tree.pdf:kim2010tree.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Kim2008a,
			Title = {A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance},
			Author = {S.-J. Kim and S. Boyd},
			Journal = {SIAM J. Opt.},
			Year = {2008},
			Number = {3},
			Pages = {1344--1367},
			Volume = {19},

			File = {:Papers/Kim2008.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@Article{Kim2009,
			Title = {$\ell_1$ Trend Filtering},
			Author = {S.-J. Kim and K. Koh and S. Boyd and D. Gorinevsky},
			Journal = {SIAM Rev.},
			Year = {2009},
			Number = {2},
			Pages = {339--360},
			Volume = {51},

			File = {:Papers/Kim2009.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@Article{Kimeldorf1971,
			Title = {Some results on Tchebycheffian spline functions},
			Author = {Kimeldorf, G. and Wahba, G.},
			Journal = {J. Math. Anal. Apps.},
			Year = {1971},
			Number = {82-95},
			Pages = {38},
			Volume = {33},

			File = {kimeldorf1971spline.pdf:Statistical Learning/kimeldorf1971spline.pdf:PDF},
			Owner = {baldassarre},
			Timestamp = {2010.01.13}
			}

			@Article{Kimura2009,
			Title = {Genetic network inference as a series of discrimination tasks},
			Author = {Kimura, Shuhei and Nakayama, Satoshi and Hatakeyama, Mariko},
			Journal = {Bioinformatics},
			Year = {2009},

			Month = {February},
			Pages = {btp072+},

			Abstract = {Motivation: Genetic network inference methods based on sets of differential equations generally require a great deal of time, as the equations must be solved many times. To reduce the computational cost, researchers have proposed other methods for inferring genetic networks by solving sets of differential equations only a few times, or even without solving them at all. When we try to obtain reasonable network models using these methods, however, we must estimate the time derivatives of the gene expression levels with great precision. In this study, we propose a new method to overcome the drawbacks of inference methods based on sets of differential equations. Results: Our method infers genetic networks by obtaining classifiers capable of predicting the signs of the derivatives of the gene expression levels. For this purpose, we defined a genetic network inference problem as a series of discrimination tasks, then solved the defined series of discrimination tasks with a linear programming machine. Our experimental results demonstrated that the proposed method is capable of correctly inferring genetic networks, and doing so more than 500 times faster than the other inference methods based on sets of differential equations. Next, we applied our method to actual expression data of the bacterial SOS DNA repair system. And finally, we demonstrated that our approach relates to the inference method based on the S-system model. Though our method provides no estimation of the kinetic parameters, it should be useful for researchers interested only in the network structure of a target system. Contact: kimura@ike.tottori-u.ac.jp Supplementary information: See Bioinformatics online. 10.1093/bioinformatics/btp072},
			Citeulike-article-id = {4067960},
			Doi = {10.1093/bioinformatics/btp072},
			File = {:BIO/Gene Networks/kimura09genetworktask.pdf:PDF},
			Keywords = {bioinfomatics, gene, graph, multi-output, networks},
			Owner = {baldassarre},
			Posted-at = {2009-04-29 12:04:08},
			Priority = {2},
			Timestamp = {2009.04.29},
			Url = {http://dx.doi.org/10.1093/bioinformatics/btp072}
			}

			@Book{King1994,
			Title = {{M}athematische {M}odelle mycelf\"ormig wachsender {M}i\-kro\-or\-ga\-nis\-men},
			Author = {King, R.},
			Publisher = {VDI-Verlag},
			Year = {1994},

			Address = {D\"usseldorf},
			Series = {Fort\-schritt\-be\-rich\-te VDI, Reihe 17},
			Volume = {103},

			Keywords = {biology},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Kirby2010,
			Title = {From functional analysis to iterative methods},
			Author = {R.C. Kirby},
			Journal = {SIAM Rev.},
			Year = {2010},
			Number = {2},
			Pages = {269--293},
			Volume = {52},

			File = {:Papers/Kirby2010.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@Book{Klain1997,
			Title = {Introduction to Geometric Probability},
			Author = {Klain, Daniel A. and Rota, Gian-Carlo},
			Publisher = {Cambridge Univ. Press},
			Year = {1997},

			Address = {Cambridge, UK},

			Owner = {yhli},
			Timestamp = {2014.07.18}
			}

			@InCollection{Klatt1993,
			Title = {{R\"uhr\-kes\-sel\-re\-ak\-tor} mit {Parallel-} und {Folgereaktion}.},
			Author = {Klatt, K.-U. and Engell, S.},
			Booktitle = {{Nichtlineare} {Regelung} -- {Methoden}, {Werkzeuge}, {Anwendungen}. VDI-Berichte Nr. 1026},
			Publisher = {VDI-Verlag},
			Year = {1993},

			Address = {D\"usseldorf},
			Editor = {Engell, S.},
			Pages = {101--108},

			Keywords = {chemistry},
			Mlanguage = {D},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Klatte2001,
			Title = {Nonsmooth equations in optimization: regularity, calculus,
			methods and applications},
			Author = {D. Klatte and B. Kummer},
			Editor = {New York},
			Publisher = {Springer-Verlag},
			Year = {2001},

			Owner = {quoctd},
			Timestamp = {2012.04.07}
			}

			@Book{Klatte2002,
			Title = {{N}onsmooth {E}quations in {O}ptimization: {R}egularity, {C}alculus, {M}ethods and {A}pplications},
			Author = {D. Klatte and B. Kummer},
			Publisher = {Kluwer Academic Publishers},
			Year = {2002},

			Address = {Dordrecht},

			Keywords = {Optimization},
			Owner = {quoctd},
			Timestamp = {2012.04.08}
			}

			@InCollection{Klee1972,
			Title = {{H}ow {G}ood is the {S}implex {A}lgorithm?},
			Author = {V. Klee and G.J. Minty},
			Booktitle = {Inequalities},
			Publisher = {Academic Press},
			Year = {1972},

			Address = {New York},
			Editor = {O. Shisha},
			Pages = {159--175},
			Volume = {III},

			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Kocvara2005,
			Title = {A nonlinear {SDP} algorithm for static output feedback problems in $\mathrm{COMPL}_{\mathrm{e}}\mathrm{ib}$},
			Author = {M. Ko\v{c}vara and F. Leibfritz and M. Stingl and D. Henrion},
			Booktitle = {Proc. IFAC World Congress},
			Year = {2005},

			Address = {Prague, Czech Rep.},

			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@InProceedings{Kocvara2003,
			Title = {{PENNON} - {A} {G}eneralized {A}ugmented {L}agrangian {M}ethod for {S}emidefinite {P}rogramming},
			Author = {M. Ko\v{c}vara and M. Stingl},
			Booktitle = {High Performance Algorithms and Software for Nonlinear Optimization},
			Year = {2003},

			Address = {Dordrecht},
			Editor = { G. Di Pillo and A. Murli},
			Pages = {297--315},
			Publisher = {Kluwer Academic Publishers},

			Keywords = {semidefinite},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Kojima1993,
			Title = {Horizontal and vertical decomposition in interior point methods for linear programs},
			Author = {M. Kojima and N. Megiddo and S. Mizuno and et al},
			Institution = {Information Sciences, Tokyo Institute of Technology},
			Year = {1993},

			Address = {Tokyo},
			Type = {Technical Report.},

			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Article{Koko2013,
			Title = {Parallel {U}zawa Method for Large-Scale Minimization of Partially Separable Functions},
			Author = {J. Koko},
			Journal = {J. Opt. Theory and Apps.},
			Year = {2013},
			Pages = {1--16},
			Volume = {xx},

			File = {:Papers/Koko2013.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.01.14}
			}

			@Article{Kolda2001,
			Title = {Orthogonal tensor decompositions},
			Author = {Kolda, Tamara G},
			Journal = {SIAM Journal on Matrix Anal. and Apps.},
			Year = {2001},
			Number = {1},
			Pages = {243--255},
			Volume = {23},

			Owner = {jmscarlett},
			Publisher = {SIAM},
			Timestamp = {2014.11.25}
			}

			@Article{Kolda2009,
			Title = {Tensor decompositions and applications},
			Author = {Kolda, Tamara G and Bader, Brett W},
			Journal = {SIAM Rev.},
			Year = {2009},
			Number = {3},
			Pages = {455--500},
			Volume = {51},

			Owner = {jmscarlett},
			Publisher = {SIAM},
			Timestamp = {2014.11.25}
			}

			@Article{Kolmogorov2004,
			Title = {What energy functions can be minimized via graph cuts?},
			Author = {Kolmogorov, V. and Zabin, R.},
			Journal = {IEEE Trans. Patt. Analysis and Mach. Intel.},
			Year = {2004},
			Number = {2},
			Pages = {147--159},
			Volume = {26},

			Owner = {jmscarlett},
			Publisher = {IEEE},
			Timestamp = {2014.11.25}
			}

			@Book{Koltchinskii2011,
			Title = {Oracle Inequalities in Empirical Risk Minimization and Sparse Recovery Problems},
			Author = {Koltchinskii, Vladimir},
			Publisher = {Springer-Verl.},
			Year = {2011},

			Address = {Berlin},

			Owner = {yhli},
			Timestamp = {2014.07.25}
			}

			@Article{Koltchinskii2009,
			Title = {Sparsity in penalized empirical risk minimization},
			Author = {Koltchinskii, Vladimir},
			Journal = {Ann. Inst. Henri Poincar{\'{e}} - Prob. Stat.},
			Year = {2009},
			Number = {1},
			Pages = {7--57},
			Volume = {45},

			Owner = {yhli},
			Timestamp = {2014.04.30}
			}

			@Article{Komodakis2010,
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			}

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			Owner = {joel},
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			}

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			Year = {2004},
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			Fjournal = {Chaos},
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			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Lebiedz2003,
			Title = {{M}anipulation of {S}elf-{A}ggregation {P}atterns and {W}aves in a {R}eaction-{D}iffusion {S}ystem by {O}ptimal {B}oundary {C}ontrol {S}trategies},
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			Fjournal = {Physical Review Letters},
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			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Title = {On the assumptions used to prove the asymptotic normality of maximum likelihood estimates},
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			Address = {Berlin},

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			Author = {Lee, E.B. and L. Markus},
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			Address = {New York},

			Keywords = {optimal control optimality conditions indirect methods},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
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			@InProceedings{Lee2013b,
			Title = {Structure Learning of Mixed Graphical Models},
			Author = {Lee, J. and Hastie, T.},
			Booktitle = {Int. Conf. Art. Intel. Stats. (AISTATS)},
			Year = {2013},
			Pages = {388--396},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Lee2014a,
			Title = {Proximal Newton-type methods for convex optimization},
			Author = {J.D. Lee and Y. Sun and M.A. Saunders},
			Journal = {SIAM J. Opt.},
			Year = {2014},
			Number = {3},
			Pages = {1420--1443},
			Volume = {24},

			Owner = {quoctd},
			Timestamp = {2012.11.23}
			}

			@Article{Lee2012,
			Title = {Proximal Newton-type methods for convex optimization},
			Author = {J.D. Lee and Y. Sun and M.A. Saunders},
			Journal = {Tech. Report.},
			Year = {2012},
			Pages = {1--25},

			Owner = {quoctd},
			Timestamp = {2012.11.23}
			}

			@Article{Lee2014,
			Title = {On model selection consistency of {$M$}-estimators with geometrically decomposable penalties},
			Author = {Lee, Jason D. and Sun, Yuekai and Taylor, Jonathan E.},
			Year = {2014},
			Note = {arXiv:1305.7477v7},

			Owner = {yhli},
			Timestamp = {2014.08.05}
			}

			@InProceedings{Lee2013a,
			Title = {On model selection consistency of {M}-estimators with geometrically decomposable penalties},
			Author = {Lee, Jason D. and Sun, Yuekai and Taylor, Jonathan E.},
			Booktitle = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2013},

			Owner = {yhli},
			Timestamp = {2014.08.05}
			}

			@Article{Lee1994,
			Title = {{S}tate-space interpretation of model predictive control},
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			Number = {4},
			Pages = {707--717},
			Volume = {30},

			Keywords = {optimal control NMPC},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Lee1997,
			Title = {{W}orst-case {F}ormulations of {M}odel {P}redictive {C}ontrol for {S}ystems with {B}ounded {P}arameters},
			Author = {J. H. Lee and Z. Yu},
			Journal = {Automatica},
			Year = {1997},
			Number = {5},
			Pages = {763--781},
			Volume = {33},

			File = {Lee1997.pdf:Lee1997.pdf:PDF},
			Keywords = {optimal control NMPC robust},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Lee2010,
			Title = {Admira: Atomic decomposition for minimum rank approximation},
			Author = {Lee, K. and Bresler, Y.},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2010},
			Number = {9},
			Pages = {4402--4416},
			Volume = {56},

			File = {lee2010admira.pdf:lee2010admira.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {IEEE},
			Timestamp = {2014.11.25}
			}

			@Article{Lee2010a,
			Title = {Biclustering via sparse singular value decomposition},
			Author = {Lee, M. and Shen, H. and Huang, J.Z. and Marron, JS},
			Journal = {Biometrics},
			Year = {2010},
			Number = {4},
			Pages = {1087--1095},
			Volume = {66},

			File = {lee2010biclustering.pdf:Statistical Learning\\lee2010biclustering.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Wiley Online Library},
			Timestamp = {2014.11.25}
			}

			@Article{Lee2002,
			Title = {Transcriptional regulatory networks in Saccharomyces cerevisiae.},
			Author = {Tong Ihn Lee and Nicola J Rinaldi and François Robert and Duncan T Odom and Ziv Bar-Joseph and Georg K Gerber and Nancy M Hannett and Christopher T Harbison and Craig M Thompson and Itamar Simon and Julia Zeitlinger and Ezra G Jennings and Heather L Murray and D. Benjamin Gordon and Bing Ren and John J Wyrick and Jean-Bosco Tagne and Thomas L Volkert and Ernest Fraenkel and David K Gifford and Richard A Young},
			Journal = {Science},
			Year = {2002},

			Month = {Oct},
			Number = {5594},
			Pages = {799--804},
			Volume = {298},

			Abstract = {We have determined how most of the transcriptional regulators encoded in the eukaryote Saccharomyces cerevisiae associate with genes across the genome in living cells. Just as maps of metabolic networks describe the potential pathways that may be used by a cell to accomplish metabolic processes, this network of regulator-gene interactions describes potential pathways yeast cells can use to regulate global gene expression programs. We use this information to identify network motifs, the simplest units of network architecture, and demonstrate that an automated process can use motifs to assemble a transcriptional regulatory network structure. Our results reveal that eukaryotic cellular functions are highly connected through networks of transcriptional regulators that regulate other transcriptional regulators.},
			Doi = {10.1126/science.1075090},
			File = {Lee et al 2002 - Transcriptional Regulatory Networks - Supp.pdf:BIO/Lee et al 2002 - Transcriptional Regulatory Networks - Supp.pdf:PDF},
			Keywords = {Algorithms; Cell Cycle; Computational Biology; DNA, Fungal; Feedback, Biochemical; Gene Expression Profiling; Gene Expression Regulation, Fungal; Genes, Fungal; Genome, Fungal; Models, Genetic; Promoter Regions (Genetics); Protein Binding; Saccharomyces cerevisiae; Saccharomyces cerevisiae Proteins; Transcription Factors; Transcription, Genetic},
			Owner = {luca},
			Pii = {298/5594/799},
			Pmid = {12399584},
			Timestamp = {2007.01.25},
			Url = {http://dx.doi.org/10.1126/science.1075090}
			}

			@Article{Lee1996,
			Title = {Efficient agnostic learning of neural networks with bounded fan-in},
			Author = {Lee, Wee Sun and Bartlett, Peter L. and Williamson, Robert C.},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {1996},

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			Pages = {2118--2132},
			Volume = {42},

			Owner = {yhli},
			Timestamp = {2014.11.05}
			}

			@TechReport{Lee2002a,
			Title = {Multicategory Support Vector Machines, Theory, and Application to the Classification of Microarray Data and Satellite Radiance Data},
			Author = {Yoonkyung Lee},
			Institution = {Department of Statistics, University of Wisconsin},
			Year = {2002},

			File = {Lee02Multicategory.pdf:Statistical Learning/Multiclass/Lee02Multicategory.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.03.12}
			}

			@Article{Lee2004,
			Title = {Multicategory Support Vector Machines: Theory and Application to the Classification of Microarray Data and Satellite Radiance Data.},
			Author = {Lee, Y. and Lin, Y. and Wahba, G.},
			Journal = {J. Amer. Stat. Assoc.},
			Year = {2004},
			Number = {465},
			Pages = {67--82},
			Volume = {99},

			Owner = {jmscarlett},
			Publisher = {American Statistical Association},
			Timestamp = {2014.11.25}
			}

			@InProceedings{Lee2013,
			Title = {A new approach to computing maximum flow using electrical flows},
			Author = {Lee, Yin Tat and Rao, Satish and Srivastava, Nikhil},
			Booktitle = {Proc. ACM Symp. Theory of Computing},
			Year = {2013},
			Pages = {755--764},

			Owner = {yhli},
			Timestamp = {2014.03.18}
			}

			@Conference{Lee2006,
			Title = {Semi-Supervised Learning in Reproducing Kernel Hilbert Spaces Using Local Invariances},
			Author = {Lee, Zhang and Teh},
			Booktitle = {Submitted to the 19th Annual Conference on Learning Theory},
			Year = {2006},

			File = {LeeZhangTeh06SemiSup.pdf:Statistical Learning/Semi-supervised/LeeZhangTeh06SemiSup.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.02.21}
			}

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			Volume = {21},

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			}

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			Number = {11},
			Pages = {4314--4327},
			Volume = {22},

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			}

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			Timestamp = {2013.12.19}
			}

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			Title = {{COMP}leib: {C}onstraint matrix optimization problem library - a collection of test examples for nonlinear semidefinite programs, control system design and related
			problems},
			Author = {F. Leibfritz},
			Institution = {Dept. Math., Univ. Trier},
			Year = {2004},

			Address = {Trier, Germany},
			Type = {Tech. Rep.},

			File = {:Papers/Leibfritz2004.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

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			Title = {{A} {LMI}-based algorithm for designing suboptimal static $\mathcal{H}_2 / \mathcal{H}_{\infty}$ output feedback controllers},
			Author = {F. Leibfritz},
			Journal = {SIAM J. Control Opt.},
			Year = {2001},
			Number = {6},
			Pages = {1711001735},
			Volume = {39},

			File = {:Papers/Leibfritz2001.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.06.06}
			}

			@TechReport{Leibfritz2003,
			Title = {Description of the benchmark examples in {COMP}leib 1.0},
			Author = {F. Leibfritz and W. Lipinski},
			Institution = {Dept. Math., Univ. Trier},
			Year = {2003},

			Address = {Trier, Germany},
			Type = {Tech. Rep.},

			File = {:Papers/Leibfritz2003.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Article{Leibfritz2009,
			Title = {{A} successive {SDP-NSDP} approach to a robust optimization problem in finance},
			Author = {F. Leibfritz and J.H. Maruhn},
			Journal = {Comp. Opt. Apps.},
			Year = {2009},
			Number = {3},
			Pages = {443--466},
			Volume = {44},

			File = {:Papers/Leibfritz2009.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.06.06}
			}

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			Title = {Trust region methods for solving the optimal output feedback design problem},
			Author = {F. Leibfritz and E.M.E. Mostafa},
			Journal = {Int. J. Control},
			Year = {2003},
			Number = {5},
			Pages = {501--519},
			Volume = {76},

			File = {:Papers/Leibfritz2003a.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.06.06}
			}

			@Article{Leibfritz2002,
			Title = {{A}n {I}nterior {P}oint {C}onstrained {T}rust {R}egion {M}ethod for a {S}pecial {C}lass of {N}onlinear {S}emidefinite {P}rogramming {P}roblems},
			Author = {F. Leibfritz and E.M.E. Mostafa},
			Journal = {{SIAM} J. Opt.},
			Year = {2002},
			Number = {4},
			Pages = { 1048-1074},
			Volume = {12},

			Keywords = {interior point semidefinite optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Lein2007,
			Title = {Genome-wide atlas of gene expression in the adult mouse brain},
			Author = {Lein, E. and Hawrylycz, M. and Ao, N. and Ayres, M. and Bensinger, A. and Bernard, A. and Boe, A. and Boguski, M. and Brockway, K. and Byrnes, E. and others},
			Journal = {Nature},
			Year = {2007},
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			Pages = {168--176},
			Volume = {445},

			Owner = {jmscarlett},
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			@Book{Leineweber1999,
			Title = {{E}fficient reduced {SQP} methods for the optimization of chemical processes described by large sparse {DAE} models},
			Author = {Leineweber, D.B.},
			Publisher = {VDI Verlag},
			Year = {1999},

			Address = {D\"usseldorf},
			Series = {Fortschritt-Berichte VDI Reihe 3, Verfahrens\-technik},
			Volume = {613},

			File = {Leineweber1999.pdf:Leineweber1999.pdf:PDF},
			Keywords = {agbock SQP multiple shooting optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Leineweber1996,
			Title = {{T}he theory of {MUSCOD} in a nutshell},
			Author = {Leineweber, D.B.},
			Institution = {Universit\"at Heidelberg},
			Year = {1996},
			Number = {96-19},
			Type = {IWR-Pre\-print},

			File = {Leineweber1996.pdf:Leineweber1996.pdf:PDF},
			Keywords = {agbock SQP multiple shooting optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@MastersThesis{Leineweber1995,
			Title = {{A}nalyse und {R}estrukturierung eines {V}erfahrens zur direkten {L}\"osung von {O}ptimal-{S}teuerungsproblemen},
			Author = {Leineweber, D.B.},
			School = {Universit\"at Heidelberg},
			Year = {1995},

			File = {Leineweber1995.pdf:Leineweber1995.pdf:PDF},
			Keywords = {agbock SQP multiple shooting optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Leineweber1997,
			Title = {{F}ast direct me\-thods for real-time optimization of chemical processes},
			Author = {Leineweber, D.B. and Bock, H.G. and Schl\"oder, J.P.},
			Booktitle = {Proc. IMACS World Congress on Scientific Computation, Modelling and Applied Mathematics},
			Year = {1997},

			Address = {Berlin},
			Publisher = {Wissenschaft- und {T}echnik-Verlag},

			Keywords = {agbock SQP multiple shooting optimal control realtime chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Leineweber1996a,
			Title = {{LIBLAC} -- structured data types and basic operations for numerical linear algebra in an {ANSI} {C}/{F}ortran 77 environment.},
			Author = {D.B. Leineweber and J.A. Jost},
			Institution = {Universit\"at Heidelberg},
			Year = {1996},

			Address = {Heidelberg},
			Number = {96-56},
			Type = {IWR-Pre\-print},

			File = {Leineweber1996a.pdf:Leineweber1996a.pdf:PDF},
			Keywords = {agbock computation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Leineweber2003a,
			Title = {{A}n {E}fficient {M}ultiple {S}hooting {B}ased {R}educed {SQP} {S}trategy for {L}arge-{S}cale {D}ynamic {P}rocess {O}ptimization. {P}art {II}: {S}oftware {A}spects and {A}pplications},
			Author = {D.B. Leineweber and A.A.S. Sch\"afer and H.G. Bock and J.P. Schl\"oder},
			Journal = {Comp. Chem. Eng.},
			Year = {2003},
			Pages = {167--174},
			Volume = {27},

			File = {:Leineweber2003a.pdf:PDF},
			Keywords = {agbock SQP multiple shooting optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InCollection{Lemarechal2001,
			Title = {Lagrangian Relaxation},
			Author = {Lemar\'{e}chal, C.},
			Booktitle = {Computational Combinatorial Optimization},
			Publisher = {Springer Berlin / Heidelberg},
			Year = {2001},
			Editor = {J\"{u}nger, Michael and Naddef, Denis},
			Note = {10.1007/3-540-45586-8\_4},
			Pages = {112-156},
			Series = {Lecture Notes in Computer Science},
			Volume = {2241},

			Affiliation = {Inria 655 avenue de l’Europe 38334 Montbonnot Saint Ismier France},
			ISBN = {978-3-540-42877-0},
			Keyword = {Computer Science},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://dx.doi.org/10.1007/3-540-45586-8_4}
			}

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			Title = {Practical aspects of the {M}oreau-{Y}osida regularization: Theoretical preliminaries},
			Author = {Lemar\'{e}chal, Claude and Sagastiz\'{a}bal, Claudia},
			Journal = {SIAM J. Opt.},
			Year = {1997},
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			Pages = {367--385},
			Volume = {7},

			Owner = {yhli},
			Timestamp = {2014.02.14}
			}

			@Article{Lemarechal1995,
			Title = {New variants of bundle methods},
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			Volume = {69},

			Owner = {quoctd},
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			@Article{Lenoir2007,
			Title = {Accelerating convergence of a separable augmented {L}agrangian algorithm},
			Author = {A. Lenoir and P. Mahey},
			Journal = {Tech. Report., LIMOS/RR-07-14},
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			Pages = {1--34},

			Owner = {quoctd},
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			@Article{Lenzen2013,
			Title = {A class of quasi-variational inequalities for adaptive image denoising and decomposition},
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			Year = {2013},
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			Volume = {xx},

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			Owner = {quoctd},
			Timestamp = {2013.01.14}
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			Title = {A proximal method for composite minimization},
			Author = {A. S. Lewis and S. J. Wright},
			Url = {http://arxiv.org/abs/0812.0423},
			Year = {2008},

			Owner = {quoctd},
			Timestamp = {2012.04.07}
			}

			@InProceedings{Lewis1993,
			Title = {Distributed memory matrix-vector multiplication and conjugate gradient algorithms},
			Author = {Lewis, J.G. and van de Geijn, R.A.},
			Booktitle = {Supercomputing '93. Proceedings},
			Year = {1993},
			Month = {nov.},
			Pages = { 484 - 492},

			Doi = {10.1109/SUPERC.1993.1263496},
			ISSN = {1063-9535},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Li2007,
			Title = {Network neighborhood analysis with the multi-node topological overlap measure.},
			Author = {Ai Li and Steve Horvath},
			Journal = {Bioinformatics},
			Year = {2007},

			Month = {Jan},
			Number = {2},
			Pages = {222--231},
			Volume = {23},

			Abstract = {MOTIVATION: The goal of neighborhood analysis is to find a set of genes (the neighborhood) that is similar to an initial 'seed' set of genes. Neighborhood analysis methods for network data are important in systems biology. If individual network connections are susceptible to noise, it can be advantageous to define neighborhoods on the basis of a robust interconnectedness measure, e.g. the topological overlap measure. Since the use of multiple nodes in the seed set may lead to more informative neighborhoods, it can be advantageous to define multi-node similarity measures. RESULTS: The pairwise topological overlap measure is generalized to multiple network nodes and subsequently used in a recursive neighborhood construction method. A local permutation scheme is used to determine the neighborhood size. Using four network applications and a simulated example, we provide empirical evidence that the resulting neighborhoods are biologically meaningful, e.g. we use neighborhood analysis to identify brain cancer related genes. AVAILABILITY: An executable Windows program and tutorial for multi-node topological overlap measure (MTOM) based analysis can be downloaded from the webpage (http://www.genetics.ucla.edu/labs/horvath/MTOM/).},
			Doi = {10.1093/bioinformatics/btl581},
			File = {BIO\\Li07NetworkNeighborhood.pdf:BIO\\Li07NetworkNeighborhood.pdf:PDF},
			Owner = {BaldaZen},
			Pii = {btl581},
			Pmid = {17110366},
			Timestamp = {2007.02.07},
			Url = {http://dx.doi.org/10.1093/bioinformatics/btl581}
			}

			@Article{Li1986,
			Title = {Asymptotic optimality of {$C_L$} and generalized cross-validation in ridge regression with application to spline smoothing},
			Author = {Li, Ker-Chau},
			Journal = {Ann. Stats.},
			Year = {1986},
			Number = {3},
			Pages = {1101--1112},
			Volume = {14},

			Owner = {yhli},
			Timestamp = {2014.07.09}
			}

			@Article{Li1985,
			Title = {From {S}tein's unbiased risk estimates to the method of generalized cross validation},
			Author = {Li, Ker-Chau},
			Journal = {Ann. Stats.},
			Year = {1985},
			Number = {4},
			Pages = {1352--1377},
			Volume = {13},

			Owner = {yhli},
			Timestamp = {2014.07.04}
			}

			@Article{Li2004a,
			Title = {Statistical modeling of complex backgrounds for foreground object detection},
			Author = {Li, Liyuan and Huang, Weimin and Gu, Irene Yu-Hua and Tian, Qi},
			Journal = {IEEE Trans. Image Proc.},
			Year = {2004},
			Number = {11},
			Pages = {1459--1472},
			Volume = {13},

			Owner = {jmscarlett},
			Publisher = {IEEE},
			Timestamp = {2014.11.25}
			}

			@Article{Li2010,
			Title = {An inexact interior point method for l 1-regularized sparse covariance selection},
			Author = {Li, L. and Toh, K.C.},
			Journal = {Math. Prog. Comp.},
			Year = {2010},
			Number = {3},
			Pages = {291--315},
			Volume = {2},

			Owner = {quoctd},
			Publisher = {Springer},
			Timestamp = {2013.01.10}
			}

			@Article{Li1990,
			Title = {{N}ewton-{T}ype {C}ontrollers for {C}onstrained {N}onlinear {P}rocesses with {U}ncertainty},
			Author = {W.C. Li and L.T. Biegler},
			Journal = {Ind. Eng. Chem. Res.},
			Year = {1990},
			Pages = {1647--1657},
			Volume = {29},

			Keywords = {optimal control robust},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Li1989,
			Title = {{M}ultistep, {N}ewton-{T}ype {C}ontrol {S}trategies for {C}onstrained {N}onlinear {P}rocesses},
			Author = {W.C. Li and L.T. Biegler},
			Journal = {Chem. Eng. Res. Des.},
			Year = {1989},
			Pages = {562--577},
			Volume = {67},

			File = {Li1989.pdf:Li1989.pdf:PDF},
			Keywords = {optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Li1990a,
			Title = {{A} {C}onstrained {P}seudo-{N}ewton {C}ontrol {S}trategy for {N}onlinear {S}ystems},
			Author = {W.C. Li and L.T. Biegler and C.G. Economou and M. Morari},
			Journal = {Comp. Chem. Eng.},
			Year = {1990},
			Number = {451-468},
			Volume = {14(4/5)},

			File = {Li1990a.pdf:Li1990a.pdf:PDF},
			Keywords = {optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Li2014a,
			Title = {Sparsistency of $\ell_1$-regularized {$M$}-estimators},
			Author = {Li, Yen-Huan and Ravikumar, Pradeep and Cevher, Volkan},
			Institution = {{\'{E}}cole Polytechnique F\'{e}d\'{e}rale de Lausanne},
			Year = {2014},
			Note = {{EPFL-REPORT-199452}},

			Owner = {yhli},
			Timestamp = {2014.08.22}
			}

			@Article{Li2014b,
			Title = {Sparsistency of {$\ell_1$}-regularized {$M$}-estimators},
			Author = {Li, Yen-Huan and Scarlett, Jonathan and Ravikumar, Pradeep and Cevher, Volkan},
			Year = {2014},
			Note = {arXiv:1410.7605 [math.ST]},

			Owner = {yhli},
			Timestamp = {2014.11.13}
			}

			@InCollection{Liang2012,
			Title = {Repairing sparse low-rank texture},
			Author = {Liang, Xiao and Ren, Xiang and Zhang, Zhengdong and Ma, Yi},
			Booktitle = {Computer Vision ECCV},
			Publisher = {Springer},
			Year = {2012},
			Pages = {482--495},

			File = {liang2012repairing.pdf:liang2012repairing.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Liao2003,
			Title = {Network component analysis: reconstruction of regulatory signals in biological systems.},
			Author = {James C Liao and Riccardo Boscolo and Young-Lyeol Yang and Linh My Tran and Chiara Sabatti and Vwani P Roychowdhury},
			Journal = {Proc. Nat. Acad. Sci.},
			Year = {2003},

			Month = {Dec},
			Number = {26},
			Pages = {15522--15527},
			Volume = {100},

			Abstract = {High-dimensional data sets generated by high-throughput technologies, such as DNA microarray, are often the outputs of complex networked systems driven by hidden regulatory signals. Traditional statistical methods for computing low-dimensional or hidden representations of these data sets, such as principal component analysis and independent component analysis, ignore the underlying network structures and provide decompositions based purely on a priori statistical constraints on the computed component signals. The resulting decomposition thus provides a phenomenological model for the observed data and does not necessarily contain physically or biologically meaningful signals. Here, we develop a method, called network component analysis, for uncovering hidden regulatory signals from outputs of networked systems, when only a partial knowledge of the underlying network topology is available. The a priori network structure information is first tested for compliance with a set of identifiability criteria. For networks that satisfy the criteria, the signals from the regulatory nodes and their strengths of influence on each output node can be faithfully reconstructed. This method is first validated experimentally by using the absorbance spectra of a network of various hemoglobin species. The method is then applied to microarray data generated from yeast Saccharamyces cerevisiae and the activities of various transcription factors during cell cycle are reconstructed by using recently discovered connectivity information for the underlying transcriptional regulatory networks.},
			Doi = {10.1073/pnas.2136632100},
			File = {Liao et al 2003.pdf:BIO/Liao et al 2003.pdf:PDF},
			Keywords = {Biology; Gene Expression Regulation; Hemoglobins; Image Processing, Computer-Assisted; Models, Genetic; Nerve Net; Oligonucleotide Array Sequence Analysis; Reproducibility of Results; Signal Transduction},
			Owner = {luca},
			Pii = {2136632100},
			Pmid = {14673099},
			Timestamp = {2007.01.25},
			Url = {http://dx.doi.org/10.1073/pnas.2136632100}
			}

			@Conference{Liberati,
			Title = {CLASSIFICAZIONE AUTOMATICA E SELEZIONE DELLE VARIABILI SALIENTI MEDIANTE ANALISI MULTIVARIATA DI DATI},
			Author = {Liberati},

			File = {Liberati.pdf:BIO/Liberati.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.25}
			}

			@Article{Liebman1992,
			Title = {{E}fficient {D}ata {R}econciliation and {E}stimation for {D}ynamic {P}rocesses {U}sing {N}onlinear {P}rogramming {T}echniques},
			Author = {Liebman, M.J. and Edgar, T.F. and Lasdon, L.S.},
			Journal = {Comp. Chem. Eng.},
			Year = {1992},
			Number = {10/11},
			Pages = {963--986},
			Volume = {16},

			Keywords = {parameter estimation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Lin2007,
			Title = {Boosting multiclass learning with repeating codes and weak detectors for protein subcellular localization.},
			Author = {Chung-Chih Lin and Yuh-Show Tsai and Yu-Shi Lin and Tai-Yu Chiu and Chia-Cheng Hsiung and May-I. Lee and Jeremy C Simpson and Chun-Nan Hsu},
			Journal = {Bioinformatics},
			Year = {2007},

			Month = {Dec},
			Number = {24},
			Pages = {3374--3381},
			Volume = {23},

			Abstract = {MOTIVATION: Determining locations of protein expression is essential to understand protein function. Advances in green fluorescence protein (GFP) fusion proteins and automated fluorescence microscopy allow for rapid acquisition of large collections of protein localization images. Recognition of these cell images requires an automated image analysis system. Approaches taken by previous work concentrated on designing a set of optimal features and then applying standard machine-learning algorithms. In fact, trends of recent advances in machine learning and computer vision can be applied to improve the performance. One trend is the advances in multiclass learning with error-correcting output codes (ECOC). Another trend is the use of a large number of weak detectors with boosting for detecting objects in images of real-world scenes. RESULTS: We take advantage of these advances to propose a new learning algorithm, AdaBoost.ERC, coupled with weak and strong detectors, to improve the performance of automatic recognition of protein subcellular locations in cell images. We prepared two image data sets of CHO and Vero cells and downloaded a HeLa cell image data set in the public domain to evaluate our new method. We show that AdaBoost.ERC outperforms other AdaBoost extensions. We demonstrate the benefit of weak detectors by showing significant performance improvements over classifiers using only strong detectors. We also empirically test our method's capability of generalizing to heterogeneous image collections. Compared with previous work, our method performs reasonably well for the HeLa cell images. AVAILABILITY: CHO and Vero cell images, their corresponding feature sets (SSLF and WSLF), our new learning algorithm, AdaBoost.ERC, and Supplementary Material are available at http://aiia.iis.sinica.edu.tw/},
			Doi = {10.1093/bioinformatics/btm497},
			File = {Lin07Boosting.pdf:/home/baldazen/Desktop/Scienza/VC/Lin07Boosting.pdf:PDF},
			Keywords = {Algorithms; Artificial Intelligence; Image Interpretation, Computer-Assisted; Microscopy, Fluorescence; Pattern Recognition, Automated; Proteins; Subcellular Fractions},
			Owner = {baldazen},
			Pii = {btm497},
			Pmid = {17956879},
			Timestamp = {2008.01.31},
			Url = {http://dx.doi.org/10.1093/bioinformatics/btm497}
			}

			@Article{Lin2013,
			Title = {An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization},
			Author = {Lin, Qihang and Xiao, Lin},
			Year = {2013},

			File = {lin2013adaptive.pdf:Optimization/lin2013adaptive.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Lin1992,
			Title = {{C}omplete {D}ecomposition {A}lgorithm for {N}onconvex {S}eparable {O}ptimization {P}roblems and {A}pplications},
			Author = {S.Y. Lin},
			Journal = {Automatica},
			Year = {1992},
			Number = {6},
			Pages = {1249--1254},
			Volume = {28},

			Owner = {quoctd},
			Timestamp = {2013.08.24}
			}

			@Article{Lin2010,
			Title = {The augmented lagrange multiplier method for exact recovery of corrupted low-rank matrices},
			Author = {Lin, Zhouchen and Chen, Minming and Ma, Yi},
			Journal = {arXiv preprint arXiv:1009.5055},
			Year = {2010},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Lin2009,
			Title = {{T}he {A}ugmented {L}agrange {M}ultiplier {M}ethod for {E}xact {R}ecovery of {C}orrupted {L}ow-{R}ank {M}atrices},
			Author = {Z. Lin and M. Chen and L. Wu and Y. Ma},
			Journal = {UIUC Technical Report UILU-ENG-09-2215},
			Year = {2009},

			Owner = {quoctd},
			Timestamp = {2014.04.22}
			}

			@Article{Lin2009a,
			Title = {Fast convex optimization algorithms for exact recovery of a corrupted low-rank matrix},
			Author = {Lin, Z. and Ganesh, A. and Wright, J. and Wu, L. and Chen, M. and Ma, Y.},
			Journal = {Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)},
			Year = {2009},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@InProceedings{Lincoln2002,
			Title = {{S}uboptimal dynamic programming with error bounds},
			Author = {B. Lincoln and A. Rantzer},
			Booktitle = {Proc. Conf. Decision and Control},
			Year = {2002},

			Keywords = {optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Lions2001,
			Title = {Résolution d'EDP par un schéma en temps «pararéel »},
			Author = {Jacques-Louis Lions and Yvon Maday and Gabriel Turinici},
			Journal = {Comptes Rendus de l'Académie des Sciences - Series I},
			Year = {2001},
			Number = {7},
			Pages = {661 - 668},
			Volume = {332},

			Doi = {10.1016/S0764-4442(00)01793-6},
			ISSN = {0764-4442},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/pii/S0764444200017936}
			}

			@Article{Lions1979,
			Title = {Splitting algorithms for the sum of two nonlinear operators},
			Author = {P. L. Lions and B. Mercier},
			Journal = {SIAM J. Numer. Anal.},
			Year = {1979},
			Pages = {964--979},
			Volume = {16},

			Owner = {quoctd},
			Timestamp = {2014.07.14}
			}

			@Book{Lipschutz1999,
			Title = {{L}ineare {A}lgebra. {S}chaum's {\"U}berblicke und {A}ufgaben},
			Author = {S. Lipschutz},
			Publisher = {McGraw-Hill Germany/Hanser Fachbuchverlag},
			Year = {1999},

			Address = {M\"unchen},
			Edition = {2},
			Note = {Enth\"alt viele sch\"one Beispiele, erkl\"art alles sch\"on ausf\"uhrlich. Auch gut zur Nacharbeitung des Stoffes in Linearer Algebra geeignet.},

			Keywords = {textbook},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Liu2009,
			Title = {Multi-output regression on the output manifold},
			Author = {Guangcan Liu and Zhouchen Lin and Yong Yu},
			Journal = {Pattern Recognition},
			Year = {2009},
			Number = {11},
			Pages = {2737 - 2743},
			Volume = {42},

			Doi = {DOI: 10.1016/j.patcog.2009.05.001},
			File = {:Statistical Learning/Manifold/liu09multimanifold.pdf:PDF},
			ISSN = {0031-3203},
			Keywords = {Regression analysis},
			Owner = {baldassarre},
			Timestamp = {2009.07.15},
			Url = {http://www.sciencedirect.com/science/article/B6V14-4W8VVYM-1/2/c5167946f20b7183b2a249ab278127cc}
			}

			@Article{Liu2013,
			Title = {Modified subspace {B}arzilai-{B}orwein gradient method for non-negative matrix factorization},
			Author = {H. Liu and X. Li},
			Journal = {Comp. Opt. Apps.},
			Year = {2013},
			Pages = {1--24},
			Volume = {xx},

			File = {:E-Books/Papers/Liu2013.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.01.14}
			}

			@InProceedings{Liu2010,
			Title = {An efficient algorithm for a class of fused lasso problems},
			Author = {Liu, J. and Yuan, L. and Ye, J.},
			Booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
			Year = {2010},

			File = {liu2010efficient.pdf:Statistical Learning\\SPARSITY\\liu2010efficient.pdf:PDF},
			Owner = {BaldaZen},
			Timestamp = {2012.02.24}
			}

			@Article{Liu2012,
			Title = {Ensemble sparse classification of Alzheimer's disease},
			Author = {Manhua Liu and Daoqiang Zhang and Dinggang Shen},
			Journal = {NeuroImage},
			Year = {2012},
			Number = {2},
			Pages = {1106 - 1116},
			Volume = {60},

			Doi = {10.1016/j.neuroimage.2012.01.055},
			File = {liu2012ensemble.pdf:NEURO\\liu2012ensemble.pdf:PDF},
			ISSN = {1053-8119},
			Keywords = {AD diagnosis},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25},
			Url = {http://www.sciencedirect.com/science/article/pii/S1053811912000729}
			}

			@Article{Liu2005,
			Title = {A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips.},
			Author = {Xuejun Liu and Marta Milo and Neil D Lawrence and Magnus Rattray},
			Journal = {Bioinformatics},
			Year = {2005},

			Month = {Sep},
			Number = {18},
			Pages = {3637--3644},
			Volume = {21},

			Abstract = {MOTIVATION: Affymetrix GeneChip arrays are currently the most widely used microarray technology. Many summarization methods have been developed to provide gene expression levels from Affymetrix probe-level data. Most of the currently popular methods do not provide a measure of uncertainty for the expression level of each gene. The use of probabilistic models can overcome this limitation. A full hierarchical Bayesian approach requires the use of computationally intensive MCMC methods that are impractical for large datasets. An alternative computationally efficient probabilistic model, mgMOS, uses Gamma distributions to model specific and non-specific binding with a latent variable to capture variations in probe affinity. Although promising, the main limitations of this model are that it does not use information from multiple chips and does not account for specific binding to the mismatch (MM) probes. RESULTS: We extend mgMOS to model the binding affinity of probe-pairs across multiple chips and to capture the effect of specific binding to MM probes. The new model, multi-mgMOS, provides improved accuracy, as demonstrated on some bench-mark datasets and a real time-course dataset, and is much more computationally efficient than a competing hierarchical Bayesian approach that requires MCMC sampling. We demonstrate how the probabilistic model can be used to estimate credibility intervals for expression levels and their log-ratios between conditions. AVAILABILITY: Both mgMOS and the new model multi-mgMOS have been implemented in an R package, which is available at http://www.bioinf.man.ac.uk/resources/puma.},
			Doi = {10.1093/bioinformatics/bti583},
			File = {A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips.pdf:BIO/A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips.pdf:PDF},
			Keywords = {Algorithms; Animals; Bayes Theorem; Computational Biology; Computer Simulation; Gene Expression Profiling; Gene Expression Reg; Humans; Models, Genetic; Models, Statistical; Monte Carlo Method; Oligonucleotide Array Sequence Analysis; Probability; Reproducibility of Results; Sensitivity and Specificity; Software; Statistics; Time Factors; ulation},
			Owner = {luca},
			Pii = {bti583},
			Pmid = {16020470},
			Timestamp = {2007.01.25},
			Url = {http://dx.doi.org/10.1093/bioinformatics/bti583}
			}

			@Article{LoGerfo2008,
			Title = {Spectral Algorithms for Supervised Learning},
			Author = {Lo Gerfo, L. and Rosasco, L. and Odone, F. and De Vito, E. and Verri A.},
			Journal = {Neural Comp.},
			Year = {2008},
			Number = {7},
			Pages = {1873--1897},
			Volume = {20},

			File = {LoGerfo08Spectral.pdf:Statistical Learning/LoGerfo08Spectral.pdf:PDF},
			Owner = {baldazen},
			Publisher = {MIT Press},
			Timestamp = {2008.01.25}
			}

			@Article{Lobo1998,
			Title = {Applications of Second-Order Cone Programming},
			Author = {M. Lobo and L. Vandenberghe and S. Boyd, and H. Lebret},
			Journal = {Lin. Alg. Apps.},
			Year = {1998},
			Pages = {193--228},
			Volume = {284},

			File = {:Papers/Lobo1998.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@Book{Lockett1986,
			Title = {{D}istillation {T}ray fundamentals},
			Author = {Lockett, M.J.},
			Publisher = {Cambridge University Press},
			Year = {1986},

			Address = {Cambridge},

			Keywords = {chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Lockhart2014,
			Title = {A significance test for the lasso},
			Author = {Lockhart, Richard and Taylor, Jonathan and Tibshirani, Ryan J. and Tibshirani, Robert},
			Journal = {Ann. Stats.},
			Year = {2014},
			Number = {2},
			Pages = {413--468},
			Volume = {42},

			Owner = {yhli},
			Timestamp = {2014.07.28}
			}

			@Article{Logist2012,
			Title = {Multi-objective optimal control of chemical processes using ACADO toolkit},
			Author = {F. Logist and M. Vallerio and B. Houska and M. Diehl and J. Van Impe},
			Journal = {Comp. Chem. Eng.},
			Year = {2012},
			Number = {0},
			Pages = {191 - 199},
			Volume = {37},

			Doi = {10.1016/j.compchemeng.2011.11.002},
			File = {logist2012.pdf:logist2012.pdf:PDF},
			ISSN = {0098-1354},
			Keywords = {Multi-objective optimisation},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/pii/S0098135411003231}
			}

			@Article{Logsdon1993,
			Title = {{A}ccurate {D}etermination of {O}ptimal {R}eflux {P}olicies for the {M}aximum {D}istillate {P}roblem in {B}atch {D}istillation},
			Author = {Logsdon, J.S. and L.T. Biegler},
			Journal = {I \& {EC} {R}esearch},
			Year = {1993},
			Number = {32},
			Pages = {692},
			Volume = {4},

			Keywords = {optimal control chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Logsdon1990,
			Title = {{O}n the {S}imultaneous {O}ptimal {D}esign and {O}peration of {B}atch {D}istillation {C}olumns},
			Author = {Logsdon, J.S. and U.M. Diwekar and L.T. Biegler},
			Journal = {Trans. Chem. Eng.},
			Year = {1990},
			Pages = {434},
			Volume = {68},

			Keywords = {optimal control chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Loh2013,
			Title = {Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses},
			Author = {Loh, P. and Wainwright, M. and others},
			Journal = {Ann. Stats..},
			Year = {2013},
			Number = {6},
			Pages = {3022--3049},
			Volume = {41},

			Owner = {jmscarlett},
			Publisher = {Institute of Mathematical Statistics},
			Timestamp = {2014.11.25}
			}

			@Article{Loh2013a,
			Title = {Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima},
			Author = {Loh, Po-Ling and Wainwright, Martin J},
			Journal = {arXiv preprint arXiv:1305.2436},
			Year = {2013},

			File = {loh2013regularized.pdf:loh2013regularized.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Lootsma1988,
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			Doi = {DOI: 10.1016/0167-8191(88)90080-4},
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			Keywords = {Unconstrained optimization, distributed optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/B6V12-4903S2K-1K/2/b1a5c45ecc9dacb1938c6be767ceca29}
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			Publisher = {Springer US},
			Year = {2011},

			ISBN = {978-0-387-85819-7},
			Language = {English},
			Owner = {jmscarlett}
			}

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			Year = {2009},
			Number = {3},
			Pages = {035008},
			Volume = {25},

			Abstract = {The problem of assessing the performance of algorithms used for the minimization of an â„“ 1 -penalized least-squares functional, for a range of penalty parameters, is investigated. A criterion that uses the idea of 'approximation isochrones' is introduced. Five different iterative minimization algorithms are tested and compared, as well as two warm-start strategies. Both well-conditioned and ill-conditioned problems are used in the comparison, and the contrast between these two categories is highlighted.},
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			Owner = {jmscarlett},
			Timestamp = {2014.11.25},
			Url = {http://stacks.iop.org/0266-5611/25/i=3/a=035008}
			}

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			File = {loris2011generalization.pdf:Optimization\\loris2011generalization.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25},
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			}

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			Owner = {baldassarre},
			Timestamp = {2010.01.05}
			}

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			Pages = {253--256},
			Volume = {39},

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			Owner = {jmscarlett},
			Publisher = {Springer},
			Timestamp = {2014.11.25}
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			Volume = {31},

			Owner = {quoctd},
			Publisher = {SIAM},
			Timestamp = {2013.01.10}
			}

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			Volume = {19},

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			Timestamp = {2013.10.25}
			}

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			Year = {2012},
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			Volume = {135},

			File = {:Papers/Lu2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.11.01}
			}

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			Number = {3},
			Pages = {505--542},
			Volume = {52},

			File = {:Papers/Lucet2010.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@TechReport{Lucia2012b,
			Title = {Stability Properties of Multi-Stage Robust Nonlinear Model Predictive Control},
			Author = {S.~Lucia and S.~Engell},
			Institution = {Process Dynamics and Operations Group, Technische Universit\"at Dortmund},
			Year = {2012},

			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Lucia2013,
			Title = {Multi-stage Nonlinear Model Predictive Control Applied to a Semi-batch Polymerization Reactor under Uncertainty},
			Author = {S.~Lucia and T.~Finkler and S.~Engell},
			Institution = {Process Dynamics and Operations Group, Technische Universit\"at Dortmund},
			Year = {2013},

			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Year = {2004},
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			Pages = {30--55},
			Volume = {32},

			File = {lugosi2004bayesrisk.pdf:Statistical Learning/Classification/lugosi2004bayesrisk.pdf:PDF},
			Owner = {baldassarre},
			Publisher = {IMS INSTITUTE OF MATHEMATICAL STATISTICS},
			Timestamp = {2010.01.08}
			}

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			Year = {2012},
			Pages = {1-8},

			Doi = {10.1007/s10851-012-0406-3},
			File = {luke2012prox.pdf:Optimization/luke2012prox.pdf:PDF},
			ISSN = {0924-9907},
			Keywords = {Rank optimization; Rank constraint; Sparsity; Normal cone; Prox-regular; Constraint qualification; Projection operator; Method of alternating projections; Linear convergence; Superregularity},
			Language = {English},
			Owner = {jmscarlett},
			Publisher = {Springer US},
			Timestamp = {2014.11.25},
			Url = {http://dx.doi.org/10.1007/s10851-012-0406-3}
			}

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			Pages = {xx},
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			File = {:Papers/Luna2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.22}
			}

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			Volume = {58},

			Owner = {jmscarlett},
			Publisher = {Wiley Online Library},
			Timestamp = {2014.11.25}
			}

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			Title = {{I}terative {D}ynamic {P}rogramming},
			Author = {Rein Luus},
			Publisher = {CRC Press LLC},
			Year = {2000},

			Address = {Boca Raton, FL},
			Note = {ISBN: 1584881488},

			Keywords = {optimal control indirect methods},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Journal = {J. Mach. Learn. Res.},
			Year = {2004},
			Pages = {293-323},
			Volume = {5},

			File = {A Compression Approach to Support Vector Model Selection.pdf:Statistical Learning/A Compression Approach to Support Vector Model Selection.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.26}
			}

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			Title = {{P}ractical distillation control},
			Author = {W.L. Luyben},
			Publisher = {McGraw-Hill},
			Year = {1992},

			Address = {New York},
			Note = {ISBN 0-442-00601-2},

			Keywords = {optimal control chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Luyben1990,
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			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Luyben1990a,
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			Address = {New York},
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			Keywords = {chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Luyben1988,
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			Volume = {27},

			Keywords = {optimal control chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Year = {1996},

			Address = {San Francisco},
			Pages = {121--126},

			Keywords = {NMPC optimal control},
			Owner = {quoctd},
			Publishers = {Elsevier Science Inc.},
			Timestamp = {2013.08.23}
			}

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			Year = {2003},
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			Volume = {49},

			Keywords = {optimal control chemistry robust},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Timestamp = {2012.10.22}
			}

			@Article{Ma2011,
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			Year = {2011},
			Number = {1},
			Pages = {321--353},
			Volume = {128},

			File = {ma2011fixed.pdf:Optimization/ma2011fixed.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Springer},
			Timestamp = {2014.11.25}
			}

			@Article{Ma2013,
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			Pages = {2172--2198},
			Volume = {25},

			Owner = {quoctd},
			Timestamp = {2014.06.10}
			}

			@InProceedings{Ma2008,
			Title = {An efficient algorithm for compressed MR imaging using total variation and wavelets},
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			Booktitle = {Comp. Vis. Pattern Recog. (CVPR)},
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			Organization = {IEEE},
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			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@TechReport{Macedo2008,
			Title = {Learning Divergence-free and Curl-free Vector Fields with Matrix-valued Kernels},
			Author = {Mac\^{e}do, I. and Castro, R.},
			Institution = {Instituto Nacional de Matematica Pura e Aplicada},
			Year = {2008},

			File = {macedo08divcurlfree.pdf:Statistical Learning/Vector-valued/macedo08divcurlfree.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Book{Maciejowski1989,
			Title = {{M}ultivariable {F}eedback {D}esign},
			Author = {J.M. Maciejowski},
			Publisher = {Addison-Wesley},
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			Address = {Wokingham, GB},
			Series = {Electronic Systems Engineering series},

			Keywords = {optimal control NMPC},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Owner = {quoctd},
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			}

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			ISSN = {1631-073X},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/pii/S1631073X02024676}
			}

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			Journal = {Science},
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			Month = {Jan},
			Number = {5809},
			Pages = {233--237},
			Volume = {315},

			Abstract = {A major goal of systems biology is to predict the function of biological networks. Although network topologies have been successfully determined in many cases, the quantitative parameters governing these networks generally have not. Measuring affinities of molecular interactions in high-throughput format remains problematic, especially for transient and low-affinity interactions. We describe a high-throughput microfluidic platform that measures such properties on the basis of mechanical trapping of molecular interactions. With this platform we characterized DNA binding energy landscapes for four eukaryotic transcription factors; these landscapes were used to test basic assumptions about transcription factor binding and to predict their in vivo function.},
			Comment = {There is Supp Mat},
			Doi = {10.1126/science.1131007},
			File = {Maerkl07YeastTFs.pdf:BIO/Maerkl07YeastTFs.pdf:PDF},
			Owner = {luca},
			Pii = {315/5809/233},
			Pmid = {17218526},
			Timestamp = {2007.01.25},
			Url = {http://dx.doi.org/10.1126/science.1131007}
			}

			@MastersThesis{Magnani,
			Title = {Kernels, Frames and Neural Networks},
			Author = {Magnani},

			File = {magnani.pdf:Statistical Learning/magnani.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.26}
			}

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			Volume = {29},

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			Owner = {quoctd},
			Timestamp = {2012.10.22}
			}

			@Article{Magni2001,
			Title = {{A} stabilizing model-based predictive control for nonlinear systems},
			Author = {L. Magni and G. {De Nicolao} and L. Magnani and R. Scattolini},
			Journal = {Automatica},
			Year = {2001},
			Number = {9},
			Pages = {1351--1362},
			Volume = {37},

			File = {Magni2001.pdf:Magni2001.pdf:PDF},
			Keywords = {optimal control NMPC robust},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Magni2002,
			Title = {{G}lobal stabilization of the inverted pendulum using model predictive control},
			Author = {L. Magni and R. Scattolini and K. J. Astrom},
			Booktitle = {IFAC World Congress},
			Year = {2002},

			Address = {Barcelona},

			Keywords = {optimal control NMPC robust},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@PhdThesis{Mahn2002,
			Title = {{E}ntwicklung einer {M}ethode und {T}estumgebung f\"ur die {E}valuierung von gehobenen {R}egelungsstrategien f\"ur verfahrenstechnische {A}nlagen},
			Author = {B. Mahn},
			School = {Ruhr-Universit\"at Bochum},
			Year = {2002},

			Keywords = {optimal control NMPC robust},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Year = {2011},
			Number = {2},
			Pages = {123--224},
			Volume = {3},

			Owner = {jmscarlett},
			Publisher = {Now Publishers Inc.},
			Timestamp = {2014.11.25}
			}

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			Year = {2010},
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			Pages = {19--60},
			Volume = {11},

			File = {mairal2010matrixfactorization.pdf:Statistical Learning/mairal2010matrixfactorization.pdf:PDF},
			Owner = {baldassarre},
			Publisher = {Citeseer},
			Timestamp = {2010.05.17}
			}

			@Article{Mairal2011,
			Title = {Convex and Network Flow Optimization for Structured Sparsity},
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			Journal = {J. Mach. Learn. Res.},
			Year = {2011},
			Pages = {2681-2720},
			Volume = {12},

			File = {mairal2011convex.pdf:Statistical Learning/SPARSITY/mairal2011convex.pdf:PDF},
			Owner = {baldassarre},
			Timestamp = {2012.05.14}
			}

			@InProceedings{Mairal2010a,
			Title = {Network Flow Algorithms for Structured Sparsity.},
			Author = {Mairal, Julien and Jenatton, Rodolphe and Obozinski, Guillaume and Bach, Francis R and others},
			Booktitle = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2010},
			Pages = {1558--1566},
			Volume = {23},

			File = {mairal2010network.pdf:mairal2010network.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@InProceedings{Mairal2012,
			Title = {Complexity analysis of the {L}asso regularization path},
			Author = {Mairal, Julien and Yu, Bin},
			Booktitle = {Proc. Int. Conf. Mach. Learn. (ICML)},
			Year = {2012},

			Owner = {yhli},
			Timestamp = {2014.07.11}
			}

			@Book{Mallat1999,
			Title = {A wavelet tour of signal processing},
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			Publisher = {Academic press},
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			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
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			@Article{Mallat1993,
			Title = {Matching pursuits with time-frequency dictionaries},
			Author = {Mallat, St\'{e}phane G. and Zhang, Zhifeng},
			Journal = {IEEE Trans. Sig. Proc.},
			Year = {1993},

			Month = dec,
			Number = {12},
			Pages = {3397--3415},
			Volume = {41},

			Owner = {yhli},
			Timestamp = {2014.03.28}
			}

			@Article{Mallows1973,
			Title = {Some comments on {$C_p$}},
			Author = {Mallows, C. L.},
			Journal = {Technometrics},
			Year = {1973},

			Month = nov,
			Number = {4},
			Pages = {661--675},
			Volume = {15},

			Owner = {yhli},
			Timestamp = {2014.07.08}
			}

			@Article{Manduchi1998,
			Title = {Efficient deformable filter banks},
			Author = {Manduchi, R. and Perona, P. and Shy, D.},
			Journal = {IEEE Trans. Sig. Proc.},
			Year = {1998},

			Month = {April},
			Number = {4},
			Pages = {1168--1173},
			Volume = {46},

			Doi = {10.1109/78.668570},
			File = {Efficient Deformable Filter Banks - Manduchi.pdf:VC/Efficient Deformable Filter Banks - Manduchi.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.25}
			}

			@Article{Mangasarian2011,
			Title = {Probability of unique integer solution to a system of linear equations},
			Author = {Mangasarian, O. L. and Recht, Benjamin},
			Journal = {Eur. J. Oper. Res.},
			Year = {2011},
			Pages = {27--30},
			Volume = {214},

			Owner = {yhli},
			Timestamp = {2014.07.01}
			}

			@Article{Manning2001,
			Title = {Estimating log models: To transform or not to transform?},
			Author = {Willard G Manning and John Mullahy},
			Journal = {J. Health Econ.},
			Year = {2001},

			Month = {July},
			Number = {4},
			Pages = {461-494},
			Volume = {20},

			ISSN = {0167-6296},
			Owner = {jmscarlett}
			}

			@Article{Mansouri2012,
			Title = {A Polynomial Interior-Point Algorithm for Monotone Linear Complementarity Problems},
			Author = {H. Mansouri and M. Pirhaji},
			Journal = {J. Opt. Theory and Apps.},
			Year = {2012},
			Pages = {1--11},

			File = {:Papers/Mansouri2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.15}
			}

			@Book{Maplesoft2004,
			Title = {{M}aple},
			Author = {Maplesoft},
			Publisher = {Maple Inc.},
			Year = {2004},

			Address = {Waterloo},
			Edition = {9.0},

			Keywords = {miscellaneous},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@PhdThesis{Maratos1978,
			Title = {{E}xact penaly function algorithms for finite-dimensional and control optimization problems},
			Author = {Maratos, N.},
			School = {IMperial College},
			Year = {1978},

			Address = {London},

			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Marinelli2006,
			Title = {Non-invasive Measurement of iron overload in the human body},
			Author = {Marinelli, M. and Cuneo, S. and Gianesin, B. and Lavagetto, A. and Lamagna, M. and Oliveri, E. and Sobrero, G. and Terenzani, L. and Forni, G.L.},
			Journal = {IEEE Trans. App. Super.},
			Year = {2006},

			Month = {June},
			Number = {2},
			Pages = {1513-1518},
			Volume = {16},

			File = {Marinelli06Noninvasive.pdf:/home/baldazen/Desktop/Scienza/Fisica/Marinelli06Noninvasive.pdf:PDF},
			Owner = {baldazen},
			Timestamp = {2008.01.25}
			}

			@InProceedings{Marinelli2006a,
			Title = {Whole liver iron overload measurement by a non-cryogenic magnetic susceptometer},
			Author = {Marinelli, M. and Gianesin, B. and Lamagna, M. and Lavagetto, A. and Oliveri, E. and Saccone, M.L. and Sobrero, G. and Terenzani, L. and Forni, G.L.},
			Booktitle = {Proc. Int. Conf. Biomagnetism},
			Year = {2006},

			Address = {Vancouver, BC, Canada},
			Editor = {Cheyne, D. and Ross, B. and Stroink, G. and Weinberg H.},
			Series = {The Proceedings: International Congress Series},
			Volume = {New Frontiers in Biomagnetism},

			File = {Marinelli06WholeLiver.pdf:/home/baldazen/Desktop/Scienza/Fisica/Marinelli06WholeLiver.pdf:PDF},
			Owner = {baldazen},
			Timestamp = {2008.01.25}
			}

			@Article{Marks1978,
			Title = {{A} {G}eneral {I}nner {A}pproximation {A}lgorithm for {N}onconvex {M}athematical {P}rograms},
			Author = {B. R. Marks and G. P. Wright},
			Journal = {Oper. Res.},
			Year = {1978},
			Number = {4},
			Pages = {681--683},
			Volume = {26},

			File = {:Papers/Marks1978.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@InProceedings{Marquardt2002,
			Title = {{N}onlinear {M}odel {R}eduction for {O}ptimization and {C}ontrol of {T}ransient {C}hemical {P}rocesses},
			Author = {W. Marquardt},
			Booktitle = {Process Control VI. {AIChE} Symp.},
			Year = {2002},
			Editor = {J.B. Rawlings and B.A. Ogunnaike and J.W. Eaton},
			Pages = {12--42},
			Series = {326},
			Volume = {98},

			Keywords = {model reduction chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Marquardt1992,
			Title = {{R}echnergest\"utzte {E}rstellung verfahrenstechnischer {P}rozessmodelle.},
			Author = {W. Marquardt},
			Journal = {Chemie {I}ngenieur {T}echnik},
			Year = {1992},
			Pages = {25--40},
			Volume = {64},

			Keywords = {chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Unpublished{Martinsen2002,
			Title = {{A}pplication of optimization algorithms to nonlinear {MPC}},
			Author = {Martinsen, F. and Biegler, L.T. and Foss, B.A},
			Note = {In {P}roceedings of 15th {IFAC} World Congress},
			Year = {2002},

			Keywords = {NMPC optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Martinson1999,
			Title = {{A}n interior point method in {D}antzig–{W}olfe decomposition},
			Author = {R.K. Martinson and J. Tind},
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			Year = {1999},
			Number = {12},
			Pages = {1195--1216},
			Volume = {26},

			File = {:Papers/Martinson1999.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.22}
			}

			@Article{Martone2003,
			Title = {Distribution of NF-kappaB-binding sites across human chromosome 22.},
			Author = {Rebecca Martone and Ghia Euskirchen and Paul Bertone and Stephen Hartman and Thomas E Royce and Nicholas M Luscombe and John L Rinn and F. Kenneth Nelson and Perry Miller and Mark Gerstein and Sherman Weissman and Michael Snyder},
			Journal = {Proc. Nat. Acad. Sci.},
			Year = {2003},

			Month = {Oct},
			Number = {21},
			Pages = {12247--12252},
			Volume = {100},

			Abstract = {We have mapped the chromosomal binding site distribution of a transcription factor in human cells. The NF-kappaB family of transcription factors plays an essential role in regulating the induction of genes involved in several physiological processes, including apoptosis, immunity, and inflammation. The binding sites of the NF-kappaB family member p65 were determined by using chromatin immunoprecipitation and a genomic microarray of human chromosome 22 DNA. Sites of binding were observed along the entire chromosome in both coding and noncoding regions, with an enrichment at the 5' end of genes. Strikingly, a significant proportion of binding was seen in intronic regions, demonstrating that transcription factor binding is not restricted to promoter regions. NF-kappaB binding was also found at genes whose expression was regulated by tumor necrosis factor alpha, a known inducer of NF-kappaB-dependent gene expression, as well as adjacent to genes whose expression is not affected by tumor necrosis factor alpha. Many of these latter genes are either known to be activated by NF-kappaB under other conditions or are consistent with NF-kappaB's role in the immune and apoptotic responses. Our results suggest that binding is not restricted to promoter regions and that NF-kappaB binding occurs at a significant number of genes whose expression is not altered, thereby suggesting that binding alone is not sufficient for gene activation.},
			Doi = {10.1073/pnas.2135255100},
			File = {Martone03 - Distribution of nf-kb-binding sites.pdf:BIO/Martone03 - Distribution of nf-kb-binding sites.pdf:PDF},
			Keywords = {Binding Sites; Chromosome Mapping; Chromosomes, Human, Pair 22; Consensus Sequence; Gene Expression Regulation; Hela Cells; Humans; Introns; NF-kappa B; Oligonucleotide Array Sequence Analysis; Precipitin Tests; Pro; Recombinant Proteins; Transcription Factor RelA; Tumor Necrosis Factor-alpha; moter Regions (Genetics)},
			Owner = {luca},
			Pii = {2135255100},
			Pmid = {14527995},
			Timestamp = {2007.01.25},
			Url = {http://dx.doi.org/10.1073/pnas.2135255100}
			}

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			Title = {Concentration Inequalities and Model Selection},
			Author = {Massart, Pascal},
			Publisher = {Springer-Verl.},
			Year = {2007},

			Address = {Berlin},

			Owner = {yhli},
			Timestamp = {2014.07.25}
			}

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			Title = {On auxiliary principle for equilibrium problems},
			Author = {G. Mastroeni},
			Journal = {Publicatione del Dipartimento di Mathematica dell’Universita di Pisa},
			Year = {2000},
			Pages = {1244--1258},
			Volume = {3},

			Owner = {quoctd},
			Timestamp = {2013.11.13}
			}

			@Article{Mathe2002,
			Title = {Moduli of continuity for operator valued functions},
			Author = {Math{\'e}, P. and Pereverzev, S. V.},
			Journal = {Numer. Funct. Anal. Optim.},
			Year = {2002},
			Number = {5-6},
			Pages = {623--631},
			Volume = {23},

			Coden = {NFADOL},
			File = {:Statistical Learning\\mathe02moduli.pdf:PDF},
			Fjournal = {Numerical Functional Analysis and Optimization. An International Journal},
			Mrclass = {47A56 (47A30 47A53)},
			Mrnumber = {2003g:47029},
			Owner = {Luca},
			Timestamp = {2008.08.13}
			}

			@Article{Mattingley2010a,
			Title = {Real-Time Convex Optimization in Signal Processing},
			Author = {J. Mattingley and S. Boyd},
			Journal = {IEEE Sig. Proc. Mag.},
			Year = {2010},
			Number = {3},
			Pages = {50-61},
			Volume = {27},

			Owner = {quoctd},
			Timestamp = {2013.01.17}
			}

			@Article{Mauntz2008,
			Title = {Neue Auswertungsalgorithmen und optimierte Anregung f<C3><BC>r die Temperaturoszillationskalorimetrie},
			Author = {Mauntz, W. and Engell, S. and Kr<C3><A4>mer, S. and Diehl, M.},
			Journal = {Chemie Ingenieur Technik},
			Year = {2008},
			Number = {1-2},
			Pages = {215--227},
			Volume = {80},

			Doi = {10.1002/cite.200700148},
			File = {Mauntz2008a.pdf:Mauntz2008a.pdf:PDF},
			ISSN = {1522-2640},
			Keywords = {Auswertungsalgorithmen, R<C3><BC>hrreaktor, Sensoren, Temperaturoszillationskalorimetrie},
			Owner = {quoctd},
			Publisher = {WILEY-VCH Verlag},
			Timestamp = {2013.08.23},
			Url = {http://dx.doi.org/10.1002/cite.200700148}
			}

			@Article{Maurer2008,
			Title = {Learning Similarity with Operator-valued Large-margin Classifiers},
			Author = {Maurer, Andreas},
			Journal = {J. Mach. Learn. Res.},
			Year = {2008},
			Pages = {1049--1082},
			Volume = {9},

			Address = {Cambridge, MA, USA},
			File = {:Statistical Learning/maurer08similarity.pdf:PDF},
			ISSN = {1533-7928},
			Owner = {baldassarre},
			Publisher = {MIT Press},
			Timestamp = {2009.09.23}
			}

			@Article{Maurer2006,
			Title = {Bounds for linear multi-task learning},
			Author = {Maurer, A.},
			Journal = {J. Mach. Learn. Res.},
			Year = {2006},
			Pages = {139},
			Volume = {7},

			File = {maurer2006bounds.pdf:Statistical Learning/Multitask/maurer2006bounds.pdf:PDF},
			Owner = {baldassarre},
			Publisher = {MIT Press},
			Timestamp = {2010.01.05}
			}

			@Article{Maurer2006a,
			Title = {The Rademacher complexity of linear transformation classes},
			Author = {Maurer, A.},
			Journal = {Lec. Notes Comp. Sci.},
			Year = {2006},
			Pages = {65},
			Volume = {4005},

			File = {maurer2006rademacher.pdf:Statistical Learning/Multitask/maurer2006rademacher.pdf:PDF},
			Owner = {baldassarre},
			Publisher = {Springer},
			Timestamp = {2010.01.05}
			}

			@Article{Maurer2012,
			Title = {Structured Sparsity and Generalization},
			Author = {Maurer, A. and Pontil, M.},
			Journal = {J. Mach. Learn. Res.},
			Year = {2012},
			Pages = {671-690},
			Volume = {13},

			File = {maurer2012structured.pdf:Statistical Learning\\SPARSITY\\maurer2012structured.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Mayne2000a,
			Title = {{C}onstrained model predictive control: stability and optimality},
			Author = {D.Q. Mayne and J.B. Rawlings and C.V. Rao and P.O.M. Scokaert},
			Journal = {Automatica},
			Year = {2000},
			Number = {6},
			Pages = {789--814},
			Volume = {26},

			File = {Mayne2000a.pdf:Mayne2000a.pdf:PDF},
			Keywords = {optimal control NMPC},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Mayne2000,
			Title = {{N}onlinear model predictive control: {C}hallenges and opportunities},
			Author = {Mayne, D. Q.},
			Booktitle = {Nonlinear Predictive Control},
			Year = {2000},

			Address = {Basel Boston Berlin},
			Editor = {F. Allg\"ower and A. Zheng},
			Pages = {23--44},
			Publisher = {Birkh\"auser},
			Series = {Progress in Systems Theory},
			Volume = {26},

			Key = {ISBN 3-7643-6297-9},
			Keywords = {optimal control NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Mayne1996,
			Title = {{N}onlinear model predictive control: {A}n assessment},
			Author = {Mayne, D. Q.},
			Booktitle = {Int. Conf. Chem. Proc. Control (CPC)},
			Year = {1996},
			Editor = {Kantor, J.C. and Garcia, C.E. and Carnahan, B.},
			Pages = {217--231},
			Publisher = {American Institute of Chemical Engineers},

			Keywords = {optimal control NMPC},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Mayne2001,
			Title = {{C}ontrol of constrained dynamic systems},
			Author = {D. Q. Mayne},
			Journal = {European J. Control},
			Year = {2001},
			Pages = {87--99},
			Volume = {7},

			Keywords = {optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Mayne1990,
			Title = {{R}eceding horizon control of nonlinear systems},
			Author = {Mayne, D. Q. and Michalska, H.},
			Journal = {IEEE Trans. Aut. Control},
			Year = {1990},
			Number = {7},
			Pages = {814--824},
			Volume = {35},

			Keywords = {optimal control NMPC},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Mayur1970,
			Title = {{T}he time-optimal problem in binary batch distillation with a recycled waste-cut},
			Author = {D.N. Mayur and R.A. May and R. Jackson},
			Journal = {Chem. Eng. Journal},
			Year = {1970},
			Pages = {15--21},
			Volume = {1},

			Keywords = {optimal control chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InBook{McAllester2007,
			Title = {Predicting Structured Data},
			Author = {David McAllester},
			Chapter = {Generalization Bounds and Consistency for Structured Labeling},
			Editor = {Bakir, G. and Hofmann, T. and Scholkopf, B. and Smola, A. and Taskar, B. and Vishwanathan, S. V. N.},
			Publisher = {MIT Press},
			Year = {2007},

			File = {mcallester2007generalization.pdf:Statistical Learning/mcallester2007generalization.pdf:PDF},
			Owner = {baldassarre},
			Timestamp = {2010.07.26}
			}

			@Book{McCoy1973,
			Title = {$\{$The Two-Dimensional Ising Model$\}$},
			Author = {McCoy, B. and Wu, T.},
			Publisher = {Harvard University Press},
			Year = {1973},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@PhdThesis{McCoy2013,
			Title = {A geometric analysis of convex demixing},
			Author = {McCoy, Michael B.},
			School = {California Institute of Technology},
			Year = {2013},

			Owner = {yhli},
			Timestamp = {2014.07.17}
			}

			@Article{McCoy2014,
			Title = {Convexity in source separation: {M}odels, geometry, and algorithms},
			Author = {M. B McCoy and V. Cevher and Q. Tran-Dinh and A. Asaei and L. Baldassarre},
			Journal = {IEEE Sig. Proc. Mag.},
			Year = {2014},
			Number = {3},
			Pages = {87--95},
			Volume = {31},

			Owner = {quoctd},
			Timestamp = {2014.05.20}
			}

			@Article{McCoy2014a,
			Title = {Sharp recovery bounds for convex demixing, with applications},
			Author = {McCoy, Michael B. and Tropp, Joel A.},
			Journal = {Found. Comp. Math.},
			Year = {2014},
			Pages = {503--567},
			Volume = {14},

			Owner = {yhli},
			Timestamp = {2014.06.10}
			}

			@Book{McCullagh1989,
			Title = {Generalized Linear Models},
			Author = {McCullagh, P. and Nelder, J. A.},
			Publisher = {Chapman and Hall},
			Year = {1989},

			Address = {London},
			Edition = {second},

			Owner = {yhli},
			Timestamp = {2014.09.19}
			}

			@Article{Meadows1995,
			Title = {{R}eceding horizon control and discontinuous state feedback stabilization},
			Author = {Meadows, E.S. and Henson, M.A. and Eaton, J.W. and Rawlings, J.B.},
			Journal = {Int. J. Control},
			Year = {1995},
			Number = {5},
			Pages = {1217--1229},
			Volume = {62},

			Keywords = {optimal control NMPC},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Mehrotra2009,
			Title = {{D}ecomposition {B}ased {I}nterior {P}oint {M}ethods for {T}wo-{S}tage {S}tochastic {C}onvex {Q}uadratic {P}rograms with {R}ecourse},
			Author = {S. Mehrotra and M.G. Ozevin},
			Journal = {Oper. Res.},
			Year = {2009},
			Number = {4},
			Pages = {964--974},
			Volume = {57},

			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Article{Meier2008,
			Title = {The group lasso for logistic regression},
			Author = {Meier, L. and Van De Geer, S. and B{\"u}hlmann, P.},
			Journal = {J. Royal Stat. Soc.: Series B (Statistical Methodology)},
			Year = {2008},
			Number = {1},
			Pages = {53--71},
			Volume = {70},

			Owner = {jmscarlett},
			Publisher = {Wiley Online Library},
			Timestamp = {2014.11.25}
			}

			@Article{Meinshausen2010,
			Title = {Stability selection},
			Author = {Meinshausen, N. and B{\"u}hlmann, P.},
			Journal = {J. Royal Stat. Soc.: Series B (Statistical Methodology)},
			Year = {2010},
			Number = {4},
			Pages = {417--473},
			Volume = {72},

			File = {meinshausen2010stability.pdf:Statistical Learning\\SPARSITY\\meinshausen2010stability.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Wiley Online Library},
			Timestamp = {2014.11.25}
			}

			@Article{Meinshausen2006,
			Title = {High-dimensional graphs and variable selection with the {L}asso},
			Author = {Meinshausen, Nicolai and B\"{u}hlmann, Peter},
			Journal = {Ann. Stats.},
			Year = {2006},
			Number = {3},
			Pages = {1436--1462},
			Volume = {34},

			Owner = {yhli},
			Timestamp = {2014.06.25}
			}

			@Article{Meinshausen2009,
			Title = {{L}asso-type recovery of sparse representations for high-dimensional data},
			Author = {Meinshausen, Nicolai and Yu, Bin},
			Journal = {Ann. Stats.},
			Year = {2009},
			Number = {1},
			Pages = {246--270},
			Volume = {37},

			Owner = {yhli},
			Timestamp = {2014.11.14}
			}

			@Article{Merkel2013,
			Title = {Self-consistent quantum process tomography},
			Author = {Merkel, Seth T. and Gambetta, Jay M. and Smolin, John A. and Poletto, Stefano and C\'{o}rcoles, Antonio D. and Johnson, Blake R. and Ryan, Colm A. and Steffen, Matthias},
			Journal = {Phys. Rev. A},
			Year = {2013},
			Pages = {062119},
			Volume = {87},

			Owner = {yhli},
			Timestamp = {2014.03.25}
			}

			@Article{Merwe1980,
			Title = {Multivariate regression analysis and canonical variates},
			Author = {van der Merwe, A. and Zidek, J. V.},
			Journal = {Can. J. Statist.},
			Year = {1980},
			Pages = {27-39},
			Volume = {8},

			Owner = {baldazen},
			Timestamp = {2008.06.27}
			}

			@InProceedings{Merwe2001,
			Title = {{T}he {S}quare-{R}oot {U}nscented {K}alman {F}ilter for {S}tate and {P}arameter-{E}stimation},
			Author = {R. van der Merwe and E.A. Wan},
			Booktitle = {IEEE Int. Conf. Acoustics, Speech, and Sig. Proc. (ICASSP)},
			Year = {2001},

			Address = {Salt Lake City, Utah,},
			Month = {May},

			Keywords = {optimal control parameter estimation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Mesarovic1970a,
			Title = {Two corrdination principles and their application in large scale systems control},
			Author = {M.D. Mesarovic and D. Macko and Y. Takahara},
			Journal = {Automatica},
			Year = {1970},
			Number = {2},
			Pages = {261 - 270},
			Volume = {6},

			Doi = {10.1016/0005-1098(70)90097-X},
			ISSN = {0005-1098},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/pii/000510987090097X}
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			File = {mosci2010solving.pdf:Statistical Learning\\SPARSITY\\mosci2010solving.pdf:PDF},
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			Owner = {quoctd},
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			Title = {{N}onlinear state estimation},
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			}

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			Owner = {quoctd},
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			}

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			Abstract = {MOTIVATION: Genetic networks regulate key processes in living cells. Various methods have been suggested to reconstruct network architecture from gene expression data. However, most approaches are based on qualitative models that provide only rough approximations of the underlying events, and lack the quantitative aspects that are critical for understanding the proper function of biomolecular systems. RESULTS: We present fine-grained dynamical models of gene transcription and develop methods for reconstructing them from gene expression data within the framework of a generative probabilistic model. Unlike previous works, we employ quantitative transcription rates, and simultaneously estimate both the kinetic parameters that govern these rates, and the activity levels of unobserved regulators that control them. We apply our approach to expression datasets from yeast and show that we can learn the unknown regulator activity profiles, as well as the binding affinity parameters. We also introduce a novel structure learning algorithm, and demonstrate its power to accurately reconstruct the regulatory network from those datasets.},
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			Owner = {luca},
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			Publisher = {TransWorld Research Network},
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			Volume = {5},

			Keywords = {NMPC optimal control robust},
			Owner = {quoctd},
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			Year = {2006},

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			Pages = {229--251},
			Volume = {15},

			Owner = {quoctd},
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			@Book{Nemirovskii1983,
			Title = {{P}roblem {C}omplexity and {M}ethod {E}fficiency in {O}ptimization},
			Author = {A. Nemirovskii and D. Yudin},
			Publisher = {Wiley Interscience},
			Year = {1983},

			Owner = {quoctd},
			Timestamp = {2014.07.21}
			}

			@Article{Nemirovskii1985,
			Title = {Optimal methods of smooth convex minimization},
			Author = {Nemirovskii, A. S. and Nesterov, Yu. E.},
			Journal = {U.S.S.R. Comput. Math. Math. Phys.},
			Year = {1985},
			Number = {2},
			Pages = {21--30},
			Volume = {25},

			Owner = {yhli},
			Timestamp = {2014.04.01}
			}

			@Book{Nemirovsky1983,
			Title = {Problem complexity and method efficiency in optimization},
			Author = {Nemirovsky, A. S. and Yudin, D. B.},
			Publisher = {John Wiley \& Sons},
			Year = {1983},

			Address = {Chichester},

			Owner = {yhli},
			Timestamp = {2014.04.23}
			}

			@Article{Nesterov2014,
			Title = {Universal gradient methods for convex optimization problems},
			Author = {Y. Nesterov},
			Journal = {Math. Program.},
			Year = {2014},
			Pages = {1--24},
			Volume = {xx},

			Owner = {quoctd},
			Timestamp = {2014.09.23}
			}

			@Article{Nesterov2013,
			Title = {Gradient methods for minimizing composite objective function},
			Author = {Y. Nesterov},
			Journal = {Math. Program.},
			Year = {2013},
			Number = {1},
			Pages = {125--161},
			Volume = {140},

			Owner = {quoctd},
			Timestamp = {2012.11.25}
			}

			@Unpublished{Nesterov2013a,
			Title = {Universal gradient method for convex optimization problems},
			Author = {Nesterov, Yu.},
			Note = {{CORE} Discussion Paper 2013/26},
			Year = {2013},

			Owner = {yhli},
			Timestamp = {2014.03.18}
			}

			@Article{Nesterov2012,
			Title = {Efficiency of coordinate descent methods on huge-scale optimization problems},
			Author = {Nesterov, Yu.},
			Journal = {SIAM J. Opt.},
			Year = {2012},
			Number = {2},
			Pages = {341--362},
			Volume = {22},

			Owner = {yhli},
			Timestamp = {2014.03.26}
			}

			@Article{Nesterov2012c,
			Title = {Subgradient methods for huge-scale optimization problems},
			Author = {Y. Nesterov},
			Journal = {CORE Discussion Paper},
			Year = {2012},
			Pages = {1--21},
			Volume = {02},

			File = {:Papers/Nesterov2012b.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov2011b,
			Title = {Towards non-symmetric conic optimization},
			Author = {Y. Nesterov},
			Journal = {Opt. Methods and Softw.},
			Year = {2011},
			Pages = {1--25},

			File = {:Papers/Nesterov2011b.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov2011c,
			Title = {Barrier subgradient method},
			Author = {Y. Nesterov},
			Journal = {Math. Program., Ser. B},
			Year = {2011},
			Pages = {31--56},
			Volume = {127},

			File = {:Papers/Nesterov2011c.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Article{Nesterov2011d,
			Title = {Random gradient-free minimization of convex functions},
			Author = {Y. Nesterov},
			Journal = {CORE Discussion Paper},
			Year = {2011},
			Pages = {1--30},

			Owner = {quoctd},
			Timestamp = {2014.09.23}
			}

			@Article{Nesterov2009c,
			Title = {Primal-dual subgradient methods for convex problems},
			Author = {Y. Nesterov},
			Journal = {Math. Program.},
			Year = {2009},
			Number = {1, Ser. B},
			Pages = {221--259},
			Volume = {120},

			File = {:Papers/Nesterov2009b.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov2009e,
			Title = {{U}nconstrained convex minimization in relative scale},
			Author = {Y. Nesterov},
			Journal = {Math. Oper. Res.},
			Year = {2009},
			Number = {1},
			Pages = {180--193},
			Volume = {34},

			File = {:Papers/Nesterov2009c.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@TechReport{Nesterov2008,
			Title = {Primal-dual interior-point methods with asymmetric barriers},
			Author = {Y. Nesterov},
			Institution = {CORE/UCL},
			Year = {2008},
			Number = {2008/57},
			Type = {CORE Discussion Paper},

			File = {:Papers/Nesterov2008.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov2008a,
			Title = {Rounding of convex sets and efficient gradient methods for linear programming problems},
			Author = {Y. Nesterov},
			Journal = {Opt. Methods and Softw.},
			Year = {2008},
			Number = {1},
			Pages = {109--128},
			Volume = {23},

			File = {:Papers/Nesterov2008a.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov2008b,
			Title = {Accelerating the cubic regularization of {N}ewton’s method on convex problems},
			Author = {Y. Nesterov},
			Journal = {Math. Program.},
			Year = {2008},
			Pages = {159--181},
			Volume = {112},

			File = {:Papers/Nesterov2008b.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.01.10}
			}

			@Article{Nesterov2007,
			Title = {Dual extrapolation and its applications to solving variational inequalities and related problems},
			Author = {Y. Nesterov},
			Journal = {Math. Program.},
			Year = {2007},
			Number = {2--3},
			Pages = {319--344},
			Volume = {109},

			File = {:Papers/Nesterov2007a.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov2007a,
			Title = {{M}odified {G}auss––{N}ewton scheme with worst case guarantees for global performance},
			Author = {Y. Nesterov},
			Journal = {Opt. Methods Softw.},
			Year = {2007},
			Number = {3},
			Pages = {469--483},
			Volume = {22},

			File = {:Papers/Nesterov2007c.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov2007b,
			Title = {Smoothing technique and its applications in semidefinite optimization},
			Author = {Y. Nesterov},
			Journal = {Math. Program.},
			Year = {2007},
			Number = {2},
			Pages = {245--259},
			Volume = {110},

			File = {:Papers/Nesterov2007d.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov2007c,
			Title = {Characteristic functions of directed graphs and applications to stochastic equilibrium problems},
			Author = {Y. Nesterov},
			Journal = {Opt. Eng.},
			Year = {2007},
			Number = {2},
			Pages = {193--214},
			Volume = {8},

			File = {:Papers/Nesterov2007.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov2007d,
			Title = {Modified {G}auss-{N}ewton scheme with worst case guarantees for global performance},
			Author = {Y. Nesterov},
			Journal = {Opt. Methods and Softw.},
			Year = {2007},
			Number = {3},
			Pages = {469--483},
			Volume = {22},

			Owner = {quoctd},
			Timestamp = {2011.11.21}
			}

			@Article{Nesterov2007e,
			Title = {Gradient methods for minimizing composite objective function. CORE Discussion Papers 2007076, Universit{\'e} catholique de Louvain},
			Author = {Nesterov, Y.},
			Journal = {Center for Oper. Res. and Econometrics (CORE)},
			Year = {2007},

			File = {nesterov2007gradient.pdf:Optimization\\nesterov2007gradient.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@TechReport{Nesterov2006b,
			Title = {Cubic Regularization of Newton's Method for Convex Problems with Constraints},
			Author = {Y. Nesterov},
			Institution = {Catholic University of Louvain (UCL) - Center for Oper. Res. and Econometrics (CORE)},
			Year = {2006},
			Number = {2006/39},
			Type = {CORE Discussion Paper},

			File = {:Papers/Nesterov2006b.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@TechReport{Nesterov2006c,
			Title = {Nonsymmetric potential-reduction methods for general cones},
			Author = {Y. Nesterov},
			Institution = {CORE/UCL},
			Year = {2006},
			Number = {2006/34},
			Type = {CORE Discussion Paper},

			File = {:Papers/Nesterov2006c.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@TechReport{Nesterov2006e,
			Title = {Constructing self-concordant barriers for convex cones},
			Author = {Y. Nesterov},
			Institution = {UCL},
			Year = {2006},

			Address = {CORE Discussion paper, 2006/30},
			Type = {CORE Discussion paper, 2006/30},

			File = {:Papers/Nesterov2006.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov2005,
			Title = {Smooth minimization of non-smooth functions},
			Author = {Nesterov, Yu.},
			Journal = {Math. Prog.},
			Year = {2005},
			Number = {1},
			Pages = {127-152},
			Volume = {103},

			ISSN = {0025-5610},
			Language = {English},
			Owner = {jmscarlett},
			Publisher = {Springer-Verlag}
			}

			@Article{Nesterov2005a,
			Title = {Excessive Gap Technique in Nonsmooth Convex Minimization},
			Author = {Nesterov, Y.},
			Journal = {SIAM J. Opt.},
			Year = {2005},
			Number = {1},
			Pages = {235-249},
			Volume = {16},

			Eprint = { http://dx.doi.org/10.1137/S1052623403422285 },
			Owner = {jmscarlett}
			}

			@TechReport{Nesterov2005d,
			Title = {Minimizing functions with bounded variation of subgradients},
			Author = {Y. Nesterov},
			Institution = {CORE/UCL},
			Year = {2005},
			Number = {2005/79},
			Type = {CORE Discussion Paper},

			File = {:Papers/Nesterov2005b.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Book{Nesterov2004a,
			Title = {Introductory Lectures on Convex Optimization},
			Author = {Nesterov, Yurii},
			Publisher = {Kluwer},
			Year = {2004},

			Address = {Boston, MA},

			Owner = {yhli},
			Timestamp = {2014.01.21}
			}

			@Article{Nesterov2004c,
			Title = {Performance of trigonometric generating functions on some combinatorial problems},
			Author = {Y. Nesterov},
			Journal = {CORE Discussion Paper},
			Year = {2004},
			Pages = {1--8},

			File = {:Papers/Nesterov2004a.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@TechReport{Nesterov2004d,
			Title = {Fast {F}ourier transform and its applications to integer knapsack problems},
			Author = {Y. Nesterov},
			Institution = {UCL, CORE},
			Year = {2004},
			Number = {2004},
			Type = {CORE Discussion Paper},

			File = {:Papers/Nesterov2004.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@TechReport{Nesterov2003,
			Title = {Random walk in a simplex and quadratic optimization over convex polytopes},
			Author = {Y. Nesterov},
			Institution = {CORE/UCL},
			Year = {2003},
			Number = {Sept.},
			Type = {CORE Discussion Paper},

			File = {:Papers/Nesterov2003.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@TechReport{Nesterov1999,
			Title = {Global quadratic optimization on the sets with simplex structure},
			Author = {Y. Nesterov},
			Institution = {CORE/UCL},
			Year = {1999},
			Number = {Feb. 1999},
			Type = {CORE Discussion Paper},

			File = {:Papers/Nesterov1999.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@TechReport{Nesterov1998,
			Title = {Global quadratic optimization via conic relaxation},
			Author = {Y. Nesterov},
			Institution = {CORE/UCL},
			Year = {1998},
			Number = {Feb. 1998},
			Type = {CORE Discussion Paper},

			File = {:Papers/Nesterov1998.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov1998a,
			Title = {Semidefinite relaxation and nonconvex quadratic optimization},
			Author = {Y. Nesterov},
			Journal = {Opt. Methods Softw.},
			Year = {1998},
			Pages = {141--160},
			Volume = {9},

			File = {:Papers/Nesterov1998a.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@TechReport{Nesterov1998b,
			Title = {Stable flows in transportation networks},
			Author = {Y. Nesterov},
			Institution = {CORE/UCL},
			Year = {1998},
			Type = {CORE Discussion Paper},

			File = {:Papers/Nesterov1998b.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov1983a,
			Title = {A method for unconstrained convex minimization problem with the rate of convergence $O(1/k^2)$},
			Author = {Y. Nesterov},
			Journal = {Doklady AN SSSR},
			Year = {1983},
			Number = {translated as Soviet Math. Dokl.},
			Pages = {543--547},
			Volume = {269},

			File = {:Papers/Nesterov1983.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Book{Nesterov1994,
			Title = {Interior-Point Polynomial Algorithms in Convex Programming},
			Author = {Nesterov, Yurii and Nemirovskii, Arkadii},
			Publisher = {SIAM},
			Year = {1994},

			Address = {Philadelphia, PA},

			Owner = {yhli},
			Timestamp = {2014.01.21}
			}

			@Conference{Nesterov2000,
			Title = {Stable dynamics in transportation systems},
			Author = {Y. Nesterov and A. De Palma},
			Booktitle = {European Transport Conf.},
			Year = {2000},

			File = {:Papers/Nesterov2000.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov2006a,
			Title = {Cubic regularization of Newton method and its global performance},
			Author = {Y. Nesterov and B.T. Polyak},
			Journal = {Math. Program.},
			Year = {2006},
			Number = {1},
			Pages = {177--205},
			Volume = {108},

			File = {:Papers/Nesterov2006a.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov2011,
			Title = {Optimizing the spectral radius},
			Author = {Y. Nesterov and V.Y. Protasov},
			Journal = {CORE Discussion Paper},
			Year = {2011},
			Pages = {1--16},

			File = {:Papers/Nesterov2011.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov2006d,
			Title = {Solving strongly monotone variational and quasi-variational inequalities},
			Author = {Y. Nesterov and L. Scrimali},
			Journal = {CORE Discussion Paper},
			Year = {2006},
			Pages = {1--15},
			Volume = {107},

			File = {:Papers/Nesterov2006d.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov2012b,
			Title = {Primal-dual subgradient method for huge-scale linear conic problems},
			Author = {Y. Nesterov and S. Shpirko},
			Journal = {CORE Discussion Paper},
			Year = {2012},
			Pages = {1--13},

			File = {:Papers/Nesterov2012a.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov1997,
			Title = {Self-scaled barriers and interior-point methods for convex programming},
			Author = {Y. Nesterov and M.J. Todd},
			Journal = {Math. Oper. Res.},
			Year = {1997},
			Number = {1},
			Pages = {1--42},
			Volume = {22},

			File = {:Papers/Nesterov1997.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@TechReport{Nesterov2009b,
			Title = {Local quadratic convergence of polynomial-time interior-point methods for conic optimization problems},
			Author = {Y. Nesterov and L. Tun\c{c}el},
			Institution = {CORE/UCL},
			Year = {2009},
			Number = {2009/72},
			Type = {CORE Discussion Paper},

			File = {:Papers/Nesterov2009a.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov2009a,
			Title = {Confidence level solutions for stochastic programming. (English summary)},
			Author = {Y. Nesterov and J.-Ph. Vial},
			Journal = {Automatica},
			Year = {2009},
			Number = {6},
			Pages = {1559--1568},
			Volume = {44},

			File = {:Papers/Nesterov2009.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Article{Nesterov2004e,
			Title = {Augmented self-concordant barriers and nonlinear optimization problems with finite complexity},
			Author = {Y. Nesterov and J.-Ph. Vial},
			Journal = {Math. Program.},
			Year = {2004},
			Pages = {149--174},
			Volume = {99},

			Owner = {quoctd},
			Timestamp = {2014.04.08}
			}

			@Article{Nesterov1983,
			Title = {A method of solving a convex programming problem with convergence rate {$O( 1 / k^2 )$}},
			Author = {Nesterov, Yu. E.},
			Journal = {Soviet Math. Dokl.},
			Year = {1983},
			Number = {2},
			Pages = {372--376},
			Volume = {27},

			Owner = {yhli},
			Timestamp = {2014.02.14}
			}

			@Article{Nettleton2008,
			Title = {Identification of differentially expressed gene categories in microarray studies using nonparametric multivariate analysis.},
			Author = {Dan Nettleton and Justin Recknor and James M Reecy},
			Journal = {Bioinformatics},
			Year = {2008},

			Month = {Jan},
			Number = {2},
			Pages = {192--201},
			Volume = {24},

			Abstract = {MOTIVATION: The field of microarray data analysis is shifting emphasis from methods for identifying differentially expressed genes to methods for identifying differentially expressed gene categories. The latter approaches utilize a priori information about genes to group genes into categories and enhance the interpretation of experiments aimed at identifying expression differences across treatments. While almost all of the existing approaches for identifying differentially expressed gene categories are practically useful, they suffer from a variety of drawbacks. Perhaps most notably, many popular tools are based exclusively on gene-specific statistics that cannot detect many types of multivariate expression change. RESULTS: We have developed a nonparametric multivariate method for identifying gene categories whose multivariate expression distribution differs across two or more conditions. We illustrate our approach and compare its performance to several existing procedures via the analysis of a real data set and a unique data-based simulation study designed to capture the challenges and complexities of practical data analysis. We show that our method has good power for differentiating between differentially expressed and non-differentially expressed gene categories, and we utilize a resampling based strategy for controlling the false discovery rate when testing multiple categories. AVAILABILITY: R code (www.r-project.org) for implementing our approach is available from the first author by request.},
			Doi = {10.1093/bioinformatics/btm583},
			File = {nettleton08identification.pdf:BIO/Gene Expression/nettleton08identification.pdf:PDF},
			Keywords = {Algorithms; Data Interpretation, Statistical; Gene Expression Profiling; Multivariate Analysis; Oligonucleotide Array Sequence Analysis},
			Owner = {baldazen},
			Pii = {btm583},
			Pmid = {18042553},
			Timestamp = {2008.02.11},
			Url = {http://dx.doi.org/10.1093/bioinformatics/btm583}
			}

			@Article{Neveen2007,
			Title = {Faster and simpler algorithms for multicommodity flow and other fractional packing problems},
			Author = {G. Neveen and K. Jochen},
			Journal = {SIAM J. Comput.},
			Year = {2007},
			Number = {2},
			Pages = {630--652},
			Volume = {37},

			File = {:Papers/Neveen2007.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Article{Newsam1983,
			Title = {{E}stimation of {S}parse {J}acobian {M}atrices},
			Author = {Newsam, G.N. and Ramsdell, J.D.},
			Journal = {{SIAM} J. Alg. Disc. Meth.},
			Year = {1983},
			Pages = {404--417},
			Volume = {4(3)},

			Keywords = {automatic differentiation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Ng2011,
			Title = {Connectivity-informed fMRI activation detection},
			Author = {Ng, B. and Abugharbieh, R. and Varoquaux, G. and Poline, J. and Thirion, B.},
			Journal = {Med. Image Comp. and Comp.-Assist. Interv.},
			Year = {2011},
			Pages = {285--292},

			File = {ng2011connectivity.pdf:NEURO/ng2011connectivity.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Springer},
			Timestamp = {2014.11.25}
			}

			@Article{Ngo2012,
			Title = {The Trace Ratio Optimization Problem},
			Author = {T. T. Ngo and M. Bellalij and Y. Saad},
			Journal = {SIAM Rev.},
			Year = {2012},
			Number = {3},
			Pages = {545--569},
			Volume = {54},

			File = {:Papers/Ngo2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@Article{Nocedal1992,
			Title = {{T}heory of algorithms for unconstrained optimization},
			Author = {Nocedal, J.},
			Journal = {Acta Numer.},
			Year = {1992},
			Pages = {199--242},
			Volume = {1},

			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Book{Nocedal2006,
			Title = {{N}umerical {O}ptimization},
			Author = {J. Nocedal and S.J. Wright},
			Publisher = {Springer},
			Year = {2006},
			Edition = {2},
			Series = {Springer Series in Oper. Res. and Financial Engineering},

			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2012.11.25}
			}

			@InProceedings{Noceti2009,
			Title = {Towards a theoretical framework for learning multi-modal patterns for embodied agents},
			Author = {Noceti, N. and Caputo, B. and Castellini, C. and Baldassarre, L. and Barla, A. and Rosasco, L. and Odone, F. and Sandini, G.},
			Booktitle = {Proc. Int. Conf. Image Analysis and Processing},
			Year = {2009},
			Organization = {Springer},
			Pages = {248},

			Owner = {baldassarre},
			Timestamp = {2010.01.21}
			}

			@Misc{Noceti2009a,
			Title = {VMGdB --the CONTACT Visuo Motor Grasping dataBase},

			Author = {N. Noceti and C. Castellini and B. Caputo and F. Odone},
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			Doi = {10.1016/j.neuroimage.2008.11.007},
			File = {pereira2009machine.pdf:NEURO\\pereira2009machine.pdf:PDF},
			ISSN = {1053-8119},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25},
			Url = {http://www.sciencedirect.com/science/article/pii/S1053811908012263}
			}

			@TechReport{Peron1991,
			Title = {Deformable kernels for early vision},
			Author = {Pietro Perona},
			Institution = {Università di Padova - Dipartimento di Elettronica ed Informatica and California Institute of Technology 116-81 Engineering and Applied Sciences},
			Year = {1991},

			File = {Deformable kernels for early vision - Perona.pdf:VC/Deformable kernels for early vision - Perona.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.25}
			}

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			Title = {{N}umerische {B}erechnung optimaler {F}lugbahnkorrekturen in {E}chtzeitrechnung},
			Author = {Pesch, H.J.},
			School = {TU M\"unchen},
			Year = {1978},

			Keywords = {optimal control indirect methods optimality conditions},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Title = {Solver {DASSL}},

			Author = {L.R. Petzold},
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			Month = {June},
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			Keywords = {DAE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Booktitle = {Proc. {IMACS} {W}orld {C}ongress},
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			Address = {Montreal},

			Keywords = {DAE},
			Owner = {quoctd},
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			}

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			Title = {{N}umerical optimal control of parabolic {PDE}s using {DASOPT}},
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			Booktitle = {Large Scale Optimization with Applications, Part II},
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			Pages = {271--300},
			Publisher = {Springer},
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			Keywords = {PDE optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Title = {{A} {C}lique-{T}ree {A}lgorithm for {P}artitioning a {C}hordal {G}raph {I}nto {T}ransitive {S}ubgraphs},
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			Keywords = {miscellaneous},
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			Url = {citeseer.ist.psu.edu/peyton94clique.html}
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			Owner = {quoctd},
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			Doi = {DOI: 10.1016/S0969-6016(98)00001-X},
			ISSN = {0969-6016},
			Keywords = {distributed optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/B6VGM-3WGXSVM-7/2/b8d876ce8cf2f1db1ec18b3f2e623c7d}
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			Title = {Learning visual features to predict hand orientations},
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			Owner = {baldassarre},
			Timestamp = {2010.01.29}
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			Owner = {baldassarre},
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			Title = {{N}ovel approach for optimal process design under uncertainty},
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			Pages = {1089--1110},
			Volume = {19},

			Keywords = {robust optimization},
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			Timestamp = {2013.08.23}
			}

			@Article{Plan2014,
			Title = {Dimension reduction by random hyperplane tessellations},
			Author = {Plan, Yaniv and Vershynin, Roman},
			Journal = {Discrete Comp. Geom.},
			Year = {2014},
			Pages = {438--461},
			Volume = {51},

			Owner = {yhli},
			Timestamp = {2014.10.29}
			}

			@Article{Plan2013,
			Title = {One-bit compressed sensing by linear programming},
			Author = {Plan, Yaniv and Vershynin, Roman},
			Journal = {Commun. Pure Appl. Math.},
			Year = {2013},
			Pages = {1275--1297},
			Volume = {LXVI},

			Owner = {yhli},
			Timestamp = {2014.06.18}
			}

			@Article{Plan2013a,
			Title = {Robust $1$-bit compressed sensing and sparse logistic regression: A convex programming approach},
			Author = {Plan, Yaniv and Vershynin, Roman},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2013},

			Month = jan,
			Number = {1},
			Pages = {482--494},
			Volume = {59},

			Owner = {yhli},
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			}

			@Article{Plan2014a,
			Title = {High-dimensional estimation with geometric constraints},
			Author = {Plan, Yaniv and Vershynin, Roman and Yudovina, Elena},
			Year = {2014},
			Note = {arXiv:1404.3749v1 [math.PR]},

			Owner = {yhli},
			Timestamp = {2014.10.30}
			}

			@MastersThesis{Plitt1981,
			Title = {{E}in superlinear konvergentes {M}ehrzielverfahren zur direkten {B}erechnung beschr\"ankter optimaler {S}teuerungen},
			Author = {Plitt, K.J.},
			School = {Universit\"at Bonn},
			Year = {1981},

			Key = {Diploma thesis},
			Keywords = {agbock multiple shooting optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Title = {General conditions for predictivity in learning theory},
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			Journal = {Nature},
			Year = {2004},
			Number = {6981},
			Pages = {419--422},
			Volume = {428},

			File = {poggio04general.pdf:Statistical Learning/poggio04general.pdf:PDF},
			Owner = {baldassarre},
			Timestamp = {2009.10.21}
			}

			@TechReport{Poggio2003,
			Title = {The Mathematics of Learning: Dealing with Data},
			Author = {Poggio, Tomaso and Smale, Steve},
			Institution = {American Mathematical Society},
			Year = {2003},

			File = {The Mathematics of Learning - Dealing with Data.pdf:Statistical Learning/The Mathematics of Learning - Dealing with Data.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.26}
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			@Book{Polak1971,
			Title = {Computational methods in optimization: a unified approach},
			Author = {Polak, E.},
			Publisher = {Academic Press, New York,},
			Year = {1971},

			Catalogue-url = { http://nla.gov.au/nla.cat-vn466427 },
			ISBN = { 0125593503 },
			Language = { English },
			Life-dates = { 1971 - },
			Owner = {quoctd},
			Pages = {329},
			Subjects = { Mathematical optimization.; Nonlinear programming. },
			Timestamp = {2013.08.23},
			Type = { Book }
			}

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			Title = {Empirical Processes: Theory and Applications},
			Author = {Pollard, David},
			Publisher = {Inst. Math. Stat.},
			Year = {1990},

			Address = {Hayward},

			Owner = {yhli},
			Timestamp = {2014.07.29}
			}

			@Book{Polyak1987,
			Title = {Introduction to Optimization},
			Author = {Polyak, Boris T.},
			Publisher = {Optimization Softw., Inc.},
			Year = {1987},

			Address = {New York},

			Owner = {yhli},
			Timestamp = {2014.05.02}
			}

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			Title = {Gradient methods for the minimisation of functionals},
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			Number = {4},
			Pages = {864--878},
			Volume = {3},

			Owner = {yhli},
			Timestamp = {2014.03.22}
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			@Article{Polyak2004,
			Title = {Ellipsoidal parameter or state estimation under model uncertainty},
			Author = {Boris T. Polyak and Sergey A. Nazin and Cécile Durieu and Eric Walter},
			Journal = {Automatica},
			Year = {2004},
			Number = {7},
			Pages = {1171 - 1179},
			Volume = {40},

			Doi = {10.1016/j.automatica.2004.02.014},
			ISSN = {0005-1098},
			Keywords = {Bounded noise},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/pii/S0005109804000676}
			}

			@Article{Polyak2013,
			Title = {Dual fast projected gradient method for quadratic programming},
			Author = {R. A. Polyak and J. Costa and J. Neyshabouri},
			Journal = {Optimization Letters},
			Year = {2013},
			Number = {4},
			Pages = {631--645},
			Volume = {7},

			Owner = {quoctd},
			Timestamp = {2014.03.14}
			}

			@Article{Polyanskiy2010,
			Title = {Channel Coding Rate in the Finite Blocklength Regime},
			Author = {Yury Polyanskiy and Vincent Poor and Sergio Verd\'{u}},
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			Year = {2010},

			Month = {May},
			Number = {5},
			Pages = {2307-2359},
			Volume = {56},

			Owner = {jms265},
			Timestamp = {2011.12.09}
			}

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			Year = {2013},
			Volume = {http://arxiv.org/abs/1305.4704},

			Owner = {quoctd},
			Timestamp = {2014.05.22}
			}

			@Book{Pontryagin1962,
			Title = {{T}he {M}athematical {T}heory of {O}ptimal {P}rocesses},
			Author = {Pontryagin, L.S. and Boltyanski, V.G. and Gamkrelidze, R.V. and Miscenko, E.F.},
			Publisher = {Wiley},
			Year = {1962},

			Address = {Chichester},

			Keywords = {optimal control optimality conditions},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Pothen1988,
			Title = {{T}he {C}omplexity of {O}ptimal {E}limination {T}rees},
			Author = {Pothen, A.},
			Institution = {Pennsylvania State University},
			Year = {1988},
			Number = {CS-88-13},

			Keywords = {miscellaneous},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Potschka2008,
			Title = {{A} {N}ewton-{P}icard inexact {SQP} method for optimization of {SMB} processes},
			Author = {Potschka,A. and Bock, H.G. and Engell, S. and K\"upper, A. and Schl{\"o}der, J.P.},
			Year = {2008},

			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Powell1976,
			Title = {{S}ome global convergence properties of a variable metric algorithm for minimization without exact line searches},
			Author = {Powell, M.J.D.},
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			Year = {1976},
			Editor = {Cottle, R. W. and Lemke, C. E. eds.},
			Pages = {53--72},
			Series = {{SIAM} publications},
			Volume = {IX},

			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Title = {{A} fast algorithm for nonlinearly constrained optimization calculations},
			Author = {M.J.D. Powell},
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			Year = {1978},

			Address = {Berlin},
			Editor = {G.A. Watson},
			Publisher = {Springer},
			Series = {Lecture Notes in Mathematics},
			Volume = {630},

			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Pages = {1--26},
			Volume = {xx},

			File = {:Papers/Powell2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.01.13}
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			Author = {M.J.D. Powell},
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			Pages = {46--61},
			Volume = {25},

			Keywords = {optimization SQP},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
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			Title = {{C}onvergence properties of algorithms for nonlinear optimization},
			Author = {Powell, M.J.D.},
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			Volume = {28},

			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Title = {{O}n the estimation of sparse {H}essian matrices},
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			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Title = {On search directions for minimization algorithms},
			Author = {Powell, M. J. D.},
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			Volume = {4},

			Affiliation = {Atomic Energy Research Establishment Harwell Great Britain},
			File = {Powell1973.pdf:Powell1973.pdf:PDF},
			ISSN = {0025-5610},
			Issue = {1},
			Keyword = {Mathematics and Statistics},
			Owner = {quoctd},
			Publisher = {Springer Berlin / Heidelberg},
			Timestamp = {2013.08.23},
			Url = {http://dx.doi.org/10.1007/BF01584660}
			}

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			Title = {Microfluidic bubble logic.},
			Author = {Manu Prakash and Neil Gershenfeld},
			Journal = {Science},
			Year = {2007},

			Month = {Feb},
			Number = {5813},
			Pages = {832--835},
			Volume = {315},

			Abstract = {We demonstrate universal computation in an all-fluidic two-phase microfluidic system. Nonlinearity is introduced into an otherwise linear, reversible, low-Reynolds number flow via bubble-to-bubble hydrodynamic interactions. A bubble traveling in a channel represents a bit, providing us with the capability to simultaneously transport materials and perform logical control operations. We demonstrate bubble logic AND/OR/NOT gates, a toggle flip-flop, a ripple counter, timing restoration, a ring oscillator, and an electro-bubble modulator. These show the nonlinearity, gain, bistability, synchronization, cascadability, feedback, and programmability required for scalable universal computation. With increasing complexity in large-scale microfluidic processors, bubble logic provides an on-chip process control mechanism integrating chemistry and computation.},
			Doi = {10.1126/science.1136907},
			File = {Prakash07MicrofluidicBubble.pdf:Fisica/Prakash07MicrofluidicBubble.pdf:PDF},
			Owner = {luca},
			Pii = {315/5813/832},
			Pmid = {17289994},
			Timestamp = {2007.02.13},
			Url = {http://dx.doi.org/10.1126/science.1136907}
			}

			@Manual{PSE2000,
			Title = {{gPROMS} {A}dvanced {U}ser's {M}anual},

			Address = {London},
			Author = {PSE},
			Year = {2000},

			Keywords = {chemistry},
			Organisation = {Process Systems Enterprise Ltd.},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			File = {pustelnik2011parallel.pdf:Optimization/pustelnik2011parallel.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {IEEE},
			Timestamp = {2014.11.25}
			}

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			Keywords = {optimal control},
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			Timestamp = {2012.11.25}
			}

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			Owner = {quoctd},
			Publisher = {Citeseer},
			Timestamp = {2013.08.23}
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			Address = {Basel Boston Berlin},
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			Key = {ISBN 3-7643-6297-9},
			Keywords = {optimal control NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Title = {{A}n overview of industrial model predictive control technology},
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			Keywords = {optimal control NMPC},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Qin2001,
			Title = {{R}eview of nonlinear model predictive control applications},
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			Booktitle = {Nonlinear model predictive control: theory and application},
			Year = {2001},

			Address = {London},
			Editor = {Kouvaritakis, B. and Cannon, M.},
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			Publisher = {The Institute of Electrical Engineers},

			Keywords = {optimal control NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InCollection{Roemisch2001,
			Title = {{M}ultistage stochastic integer programs: {A}n introduction},
			Author = {R\"{o}misch, W. and Schultz, R.},
			Booktitle = {Online Optimization of Large Scale Systems},
			Publisher = {Springer},
			Year = {2001},

			Address = {Berlin},
			Editor = {Gr\"{o}tschel, M. and Krumke, S.O. and Rambau, J.},
			Pages = {581--600},

			Keywords = {integer programming},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InCollection{Roemisch2001a,
			Title = {{M}ultistage {S}tochastic {I}nteger {P}rograms: {A}n {I}ntroduction},
			Author = {W. R\"omisch and R. Schultz},
			Booktitle = {Online {O}ptimization of {L}arge {S}cale Systems: {S}tate of the {A}rt},
			Publisher = {Springer},
			Year = {2001},
			Editor = {M. Gr\"otschel and S.O. Krumke and J. Rambau},
			Pages = {581--600},

			Keywords = {integer programming},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Raginsky2010,
			Title = {Compressed Sensing Performance Bounds Under {P}oisson Noise},
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			Year = {2010},

			Month = {Aug.},
			Number = {8},
			Pages = {3990-4002},
			Volume = {58},

			ISSN = {1053-587X},
			Owner = {jmscarlett}
			}

			@TechReport{Raguet2012,
			Title = {Generalized Forward-Backward Splitting},
			Author = {Raguet, H. and Fadili, J. and Peyré, G.},
			Institution = {arXiv:1108.4404v3},
			Year = {2012},

			File = {raguet2012generalized.pdf:Optimization/raguet2012generalized.pdf:PDF},
			Owner = {baldassarre},
			Timestamp = {2012.03.06}
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			@Article{Rahman2005,
			Title = {Multiscale Representations for Manifold-Valued Data},
			Author = {Rahman, Inam U. and Drori, Iddo and Stodden, Victoria C. and Donoho, David L. and Schroder, Peter },
			Journal = {Multiscale Modeling \& Simulation},
			Year = {2005},
			Number = {4},
			Pages = {1201--1232},
			Volume = {4},

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			Citeulike-article-id = {1071840},
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			Owner = {baldassarre},
			Posted-at = {2007-01-28 00:33:59},
			Priority = {2},
			Publisher = {SIAM},
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			}

			@Article{Rakotomamonjy2008,
			Title = {SimpleMKL},
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			Volume = {9},

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			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

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			Title = {Approximate Reachability Analysis for Linear Discrete Time Systems Using Homothety and Invariance},
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			Year = {2008},

			Address = {Seoul, Korea},

			Owner = {quoctd},
			Timestamp = {2013.08.23}
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			@Article{Ramaswamy2001,
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			Author = {Ramaswamy, S. and Tamayo, P. and Rifkin, R. and Mukherjee, S. and Yeang, C. H. and Angelo, M. and Ladd, C. and. Reich, M and Latulippe, E. and Mesirov, J. P. and Poggio, T. and Gerald, W. and Loda, M. and Lander, E. S. and Golub, T. R.},
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			Year = {2001},

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			Pages = {15149--15154},
			Volume = {98},

			Abstract = {The optimal treatment of patients with cancer depends on establishing accurate diagnoses by using a complex combination of clinical and histopathological data. In some instances, this task is difficult or impossible because of atypical clinical presentation or histopathology. To determine whether the diagnosis of multiple common adult malignancies could be achieved purely by molecular classification, we subjected 218 tumor samples, spanning 14 common tumor types, and 90 normal tissue samples to oligonucleotide microarray gene expression analysis. The expression levels of 16,063 genes and expressed sequence tags were used to evaluate the accuracy of a multiclass classifier based on a support vector machine algorithm. Overall classification accuracy was 78\%, far exceeding the accuracy of random classification (9\%). Poorly differentiated cancers resulted in low-confidence predictions and could not be accurately classified according to their tissue of origin, indicating that they are molecularly distinct entities with dramatically different gene expression patterns compared with their well differentiated counterparts. Taken together, these results demonstrate the feasibility of accurate, multiclass molecular cancer classification and suggest a strategy for future clinical implementation of molecular cancer diagnostics.},
			Doi = {10.1073/pnas.211566398},
			File = {ramaswamy01multiclass.pdf:BIO/Gene Expression/ramaswamy01multiclass.pdf:PDF},
			Keywords = {Cluster Analysis; Gene Expression Profiling; Humans; Multigene Family; Neoplasms; Tumor Markers, Biological},
			Owner = {baldazen},
			Pii = {211566398},
			Pmid = {11742071},
			Timestamp = {2008.02.29},
			Url = {http://dx.doi.org/10.1073/pnas.211566398}
			}

			@InProceedings{Rangan2011,
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			Year = {2011},
			Month = {July},

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			@PhdThesis{Rao2000b,
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			Author = {Rao, C.V.},
			School = {University of Wisconsin--Madison},
			Year = {2000},

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			Keywords = {optimal control NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Title = {{N}onlinear {M}oving {H}orizon {S}tate {E}stimation},
			Author = {Rao, C.V. and Rawlings, J.B.},
			Booktitle = {Nonlinear Predictive Control},
			Year = {2000},

			Address = {Basel Boston Berlin},
			Editor = {Allg\"ower, F. and Zheng, A.},
			Pages = {45--69},
			Publisher = {Birkh\"auser},

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			Keywords = {optimal control NMPC},
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			Timestamp = {2013.08.23}
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			@Article{Rao2001,
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			Author = {C.V. Rao and J.B. Rawlings and J.H. Lee},
			Journal = {Automatica},
			Year = {2001},
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			Volume = {37},

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			Journal = {IEEE Trans. Aut. Control},
			Year = {2003},
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			Pages = {246--258},
			Volume = {48},

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			Keywords = {optimal control NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Rao2013,
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			Year = {2013},
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			Owner = {jmscarlett},
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			Year = {2011},
			Pages = {1917--1920},

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			Journal = {arXiv preprint arXiv:1209.3079},
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			Year = {2013},

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			Year = {2008},
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			Year = {2011},

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			Timestamp = {2014.11.25}
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			Volume = {45},

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			Owner = {jmscarlett},
			Publisher = {Elsevier},
			Timestamp = {2014.11.25}
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			Publisher = {de Gruyter},
			Year = {2010},

			Address = {Berlin},
			Editor = {Fornasier, Massimo},
			Pages = {1--92},

			Owner = {yhli},
			Timestamp = {2014.06.10}
			}

			@Article{Rauhut2012,
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			Year = {2012},
			Number = {2},
			Pages = {242--254},
			Volume = {32},

			Owner = {jmscarlett},
			Publisher = {Elsevier},
			Timestamp = {2014.11.25}
			}

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			Title = {Distributed soft-thresholding for sparse signal recovery},
			Author = {C. Ravazzi and S.M. Fesson and E. Magli},
			Institution = {Department of Electronics and Telecommunications, Politecnico di Torino, Italy},
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			File = {ravikumar2009sparse.pdf:Statistical Learning\\SPARSITY\\ravikumar2009sparse.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {John Wiley \& Sons},
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			@Article{Ravikumar2010,
			Title = {High-dimensional {I}sing model selection using $\ell_1$-regularized logistic regression},
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			@Article{Ravikumar2011,
			Title = {High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence},
			Author = {Ravikumar, Pradeep and Wainwright, Martin J. and Raskutti, Garvesh and Yu, Bin},
			Journal = {Elec. J. Stats.},
			Year = {2011},
			Pages = {935--980},
			Volume = {5},

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			Timestamp = {2014.05.19}
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			Title = {{O}ptimization-based {S}tate {E}stimation: {C}urrent {S}tatus and {S}ome {N}ew {R}esults},
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			Year = {2012},
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			Volume = {22},

			Doi = {10.1016/j.jprocont.2012.03.001},
			File = {Rawlings2012.pdf:Rawlings2012.pdf:PDF},
			ISSN = {0959-1524},
			Keywords = {Moving horizon estimation},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/pii/S0959152412000662}
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			Title = {{N}onlinear model predictive control: {A} tutorial and survey},
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			Address = {Kyoto, Japan},

			Keywords = {optimal control NMPC},
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			@Article{Ray1972,
			Title = {{O}n the {M}athematical {M}odelling of {P}olymerization {R}eactors},
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			Title = {{M}olecular {W}eight {D}istributions in {C}opolymer {S}ystems - {II}. {F}ree-{R}adical {P}olymerization},
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			Owner = {quoctd},
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			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/pii/S0378778811003203}
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			@MastersThesis{Riede2001,
			Title = {{E}ntwicklung eines parallelen {PRSQP}-{V}erfahrens zur {L}\"osung von {M}ultiple-{S}etpoint-{O}ptimierungsproblemen},
			Author = {P. Riede},
			School = {Universit\"at Heidelberg},
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			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@PhdThesis{Rifkin2002,
			Title = {Everything Old Is New Again: A Fresh Look at Historical Approaches to Machine Learning},
			Author = {Rifkin, R.M.},
			School = {Massachusetts Institute of Technology},
			Year = {2002},

			File = {rifkin02everything.pdf:Statistical Learning/rifkin02everything.pdf:PDF},
			Owner = {baldassarre},
			Timestamp = {2009.11.09}
			}

			@Article{Rifkin2004,
			Title = {In Defense of One-Vs-All Classification},
			Author = {Rifkin, R. and Klautau, A.},
			Journal = {J. Mach. Learn. Res.},
			Year = {2004},
			Pages = {101--141},
			Volume = {5},

			Address = {Cambridge, MA, USA},
			File = {Rifkin04DefenseOVAClass.pdf:Statistical Learning/Multiclass/Rifkin04DefenseOVAClass.pdf:PDF},
			ISSN = {1533-7928},
			Owner = {jmscarlett},
			Publisher = {MIT Press},
			Timestamp = {2014.11.25}
			}

			@InBook{Rifkin2003,
			Title = {Advances in Learning Theory: Methods, Models and Applications},
			Author = {Rifkin, Ryan and Yeo, Gene and Poggio, Tomaso},
			Chapter = {Regularized Least-Squares Classification},
			Editor = {Suykens and Horvath and Basu and Micchelli and Vandewalle},
			Publisher = {IOS Press, Amsterdam},
			Year = {2003},

			File = {RifkinYeoPoggio_RLSC.pdf:Statistical Learning/RifkinYeoPoggio_RLSC.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.02.13}
			}

			@TechReport{Rifkin2007,
			Title = {Notes on Regularized Least Squares},
			Author = {Rifkin, Ryan M. and Lippert, Ross A.},
			Institution = {MIT Dspace [http://dspace.mit.edu/dspace-oai/request] (United States)},
			Year = {2007},

			Abstract = {This is a collection of information about regularized least squares (RLS). The facts here are not new results, but we have not seen them usefully collected together before. A key goal of this work is to demonstrate that with RLS, we get certain things for free: if we can solve a single supervised RLS problem, we can search for a good regularization parameter lambda at essentially no additional cost.The discussion in this paper applies to dense regularized least squares, where we work with matrix factorizations of the data or kernel matrix. It is also possible to work with iterative methods such as conjugate gradient, and this is frequently the method of choice for large data sets in high dimensions with very few nonzero dimensions per point, such as text classifciation tasks. The results discussed here do not apply to iterative methods, which have different design tradeoffs.We present the results in greater detail than strictly necessary, erring on the side of showing our work. We hope that this will be useful to people trying to learn more about linear algebra manipulations in the machine learning context.},
			File = {rifkin07rls.pdf:Statistical Learning/RLS/rifkin07rls.pdf:PDF},
			Keywords = {machine learning, linear algebra},
			Owner = {baldazen},
			Timestamp = {2008.02.11},
			Url = {http://hdl.handle.net/1721.1/37318}
			}

			@Article{Rizzolatti2004,
			Title = {The Mirror-Neuron System},
			Author = {Rizzolatti, G. and Craighero, L},
			Journal = {Annual Rev. Neurosci.},
			Year = {2004},
			Pages = {169-192},
			Volume = {27},

			Owner = {baldassarre},
			Timestamp = {2010.01.29}
			}

			@Article{Robbins1955,
			Title = {A remark on Stirling's formula},
			Author = {Robbins, Herbert},
			Journal = {American Mathematical Monthly},
			Year = {1955},
			Pages = {26--29},

			Owner = {jmscarlett},
			Publisher = {JSTOR},
			Timestamp = {2014.11.25}
			}

			@Article{Robbins1951,
			Title = {A stochastic approximation method},
			Author = {Robbins, Herbert and Monro, Sutton},
			Journal = {Ann. Math. Stat.},
			Year = {1951},
			Number = {3},
			Pages = {400--407},
			Volume = {22},

			Owner = {yhli},
			Timestamp = {2014.04.07}
			}

			@PhdThesis{Robertson1996,
			Title = {{D}evelopment and {S}tatistical {I}nterpretation of {T}ools for {N}onlinear {E}stimation},
			Author = {D. Robertson},
			School = {Auburn University},
			Year = {1996},

			Keywords = {parameter estimation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Robinson1974,
			Title = {{P}erturbed {K}uhn-{T}ucker points and rates of convergence for a class of nonlinear programming algorithms},
			Author = {Robinson, S.M.},
			Journal = {Math. Prog.},
			Year = {1974},
			Pages = {1--16},
			Volume = {7},

			File = {Robinson1974.pdf:Robinson1974.pdf:PDF},
			Keywords = {optimization},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Robinson1994,
			Title = {{N} ewton's {M}ethod for a {C}lass of {N}onsmooth {F}unctions},
			Author = {S. M. Robinson},
			Journal = {Set-ValuedAnalysis 2 : 291-305, 1994},
			Year = {1994},
			Pages = {291--305},
			Volume = {2},

			File = {Robison1994.pdf:Robison1994.pdf:PDF},
			Keywords = {Generalized Equation, Inclusion, Newton method, nonlinear programming, optimization},
			Owner = {qtrandin},
			Timestamp = {2009.04.16}
			}

			@Article{Robinson1992,
			Title = {{N}ormal {M}aps {I}nduced by {L}inear {T}ransformations},
			Author = {S. M. Robinson},
			Journal = {Math. Oper. Res.},
			Year = {1992},
			Pages = {691--714},
			Volume = {17},

			File = {Robison1992.pdf:Robison1992.pdf:PDF},
			Keywords = {Generalized Equation, Inclusion, nonlinear programming, optimization},
			Owner = {qtrandin},
			Timestamp = {2009.04.16}
			}

			@Article{Robinson1980,
			Title = {{S}trongly {R}egular {G}eneralized {E}quations},
			Author = {S. M. Robinson},
			Journal = {Math. Oper. Res.},
			Year = {1980},
			Pages = {43--62},
			Volume = {5},

			File = {Robison1980.pdf:Robison1980.pdf:PDF},
			Keywords = {Generalized Equation, Optimization, Nonlinear Programming},
			Owner = {qtrandin},
			Timestamp = {2009.04.16}
			}

			@Article{Robinson1976,
			Title = {{F}irst {O}rder {C}onditions for {G}eneral {N}onlinear {O}ptimization},
			Author = {S. M. Robinson},
			Journal = {SIAM Journal on Applied Mathematics, Vol. 30, No. 4 (Jun., 1976), pp. 597-607},
			Year = {1976},
			Pages = {597--607},
			Volume = {30},

			File = {Robison1976.pdf:Robison1976.pdf:PDF},
			Keywords = {First order neccessary condition, nonlinear programming, optimization},
			Owner = {qtrandin},
			Timestamp = {2009.04.16}
			}

			@Article{Roche1988,
			Title = {{R}osenbrock methods for differential algebraic equations},
			Author = {Roche, M.},
			Journal = {Numerische {M}athematik},
			Year = {1988},
			Pages = {46--63},
			Volume = {52},

			Keywords = {DAE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InBook{Rockafellar1985,
			Title = {Convexity and Duality in Optimization},
			Author = {R.T. Rockafellar},
			Chapter = {{M}onotropic {P}rogramming: {A} generalization of linear programming and network programming.},
			Editor = {J. Ponstein},
			Pages = {10-036},
			Publisher = {Springer-Verlag},
			Year = {1985},

			Owner = {quoctd},
			Timestamp = {2014.04.28}
			}

			@Article{Rockafellar1981,
			Title = {Proximal subgradients, marginal values and augmented Lagrangians in nonconvex optimization},
			Author = {R.T. Rockafellar},
			Journal = {Math. Oper. Res.},
			Year = {1981},
			Number = {3},
			Pages = {424--436},
			Volume = {6},

			File = {:Papers/Rockafellar1981.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.15}
			}

			@Book{Rockafellar1997,
			Title = {{V}ariational {A}nalysis},
			Author = {R.T. Rockafellar and R. J-B. Wets},
			Editor = {New York},
			Publisher = {Springer-Verlag},
			Year = {1997},

			Owner = {quoctd},
			Timestamp = {2012.04.08}
			}

			@Book{Rockafellar2009,
			Title = {Variational analysis},
			Author = {Rockafellar, R.T. and Wets, R. J-B},
			Publisher = {Springer-Verlag},
			Year = {2009},

			Address = {Berlin},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Rockafellar1976,
			Title = {Monotone operators and the proximal point algorithm},
			Author = {Rockafellar, R. Tyrrell},
			Journal = {SIAM J. Control Opt.},
			Year = {1976},
			Number = {5},
			Pages = {877--898},
			Volume = {14},

			Owner = {yhli},
			Timestamp = {2014.02.14}
			}

			@Book{Rockafellar1970,
			Title = {Convex Analysis},
			Author = {Rockafellar, R. Tyrrell},
			Publisher = {Princeton Univ. Press},
			Year = {1970},

			Address = {Princeton, NJ},

			Owner = {yhli},
			Timestamp = {2014.11.19}
			}

			@Article{Rockafellar1970b,
			Title = {On the maximality of sums of nonlinear monotone operators},
			Author = {Rockafellar, R. T.},
			Journal = {Trans. Amer. Math. Soc.},
			Year = {1970},

			Month = may,
			Pages = {75--88},
			Volume = {149},

			Owner = {yhli},
			Timestamp = {2014.11.19}
			}

			@Article{Rockafellar1970c,
			Title = {On the maximal monotonicity of subdifferential mappings},
			Author = {Rockafellar, R. T.},
			Journal = {Pac. J. Math.},
			Year = {1970},
			Number = {1},
			Pages = {209--216},
			Volume = {33},

			Owner = {yhli},
			Timestamp = {2014.04.16}
			}

			@Article{Rockafellar1966,
			Title = {Extension of {F}enchel's duality theorem for convex functions},
			Author = {Rockafellar, R. T.},
			Journal = {Duke Math. J.},
			Year = {1966},
			Number = {1},
			Pages = {81--89},
			Volume = {33},

			Owner = {yhli},
			Timestamp = {2014.11.12}
			}

			@Article{Rockafellar1991,
			Title = {Scenarios and Policy Aggregation in Optimization under Uncertainty},
			Author = {Rockafellar, R. T. and Wets, Roger J.-B.},
			Journal = {Math. Oper. Res.},
			Year = {1991},
			Number = {1},
			Pages = {pp. 119-147},
			Volume = {16},

			Copyright = {Copyright <C2><A9> 1991 INFORMS},
			ISSN = {0364765X},
			Jstor_articletype = {research-article},
			Jstor_formatteddate = {Feb., 1991},
			Language = {English},
			Owner = {quoctd},
			Publisher = {INFORMS},
			Timestamp = {2013.08.23},
			Url = {http://www.jstor.org/stable/3689852}
			}

			@Article{RodriguezFernandez2006,
			Title = {A hybrid approach for efficient and robust parameter estimation in biochemical pathways},
			Author = {Rodriguez-Fernandez, M. and Mendes, P. and Banga, J.R.},
			Journal = {Biosystems},
			Year = {2006},
			Number = {2--3},
			Pages = {248--265},
			Volume = {83},

			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Rohn2000,
			Title = {Computing the norm $\left\Vert A \right\Vert_{\infty, 1}$ is {NP}-hard},
			Author = {Rohn, Ji\v{r}\'{i}},
			Journal = {Lin. Multilin. Alg.},
			Year = {2000},
			Pages = {195--204},
			Volume = {47},

			Owner = {yhli},
			Timestamp = {2014.10.09}
			}

			@Article{Roider2007,
			Title = {Predicting transcription factor affinities to DNA from a biophysical model.},
			Author = {Helge G Roider and Aditi Kanhere and Thomas Manke and Martin Vingron},
			Journal = {Bioinformatics},
			Year = {2007},

			Month = {Jan},
			Number = {2},
			Pages = {134--141},
			Volume = {23},

			Abstract = {MOTIVATION: Theoretical efforts to understand the regulation of gene expression are traditionally centered around the identification of transcription factor binding sites at specific DNA positions. More recently these efforts have been supplemented by experimental data for relative binding affinities of proteins to longer intergenic sequences. The question arises to what extent these two approaches converge. In this paper, we adopt a physical binding model to predict the relative binding affinity of a transcription factor for a given sequence. RESULTS: We find that a significant fraction of genome-wide binding data in yeast can be accounted for by simple count matrices and a physical model with only two parameters. We demonstrate that our approach is both conceptually and practically more powerful than traditional methods, which require selection of a cutoff. Our analysis yields biologically meaningful parameters, suitable for predicting relative binding affinities in the absence of experimental binding data. AVAILABILITY: The C source code for our TRAP program is freely available for non-commercial use at http://www.molgen.mpg.de/~manke/papers/TFaffinities/},
			Doi = {10.1093/bioinformatics/btl565},
			File = {BIO\\Roider07PredictingTranscription.pdf:BIO\\Roider07PredictingTranscription.pdf:PDF},
			Owner = {BaldaZen},
			Pii = {btl565},
			Pmid = {17098775},
			Timestamp = {2007.02.07},
			Url = {http://dx.doi.org/10.1093/bioinformatics/btl565}
			}

			@InProceedings{Rolfs2012,
			Title = {Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation},
			Author = {Rolfs, B. and Rajaratnam, B. and Guillot, D. and Wong, I. and Maleki, A.},
			Booktitle = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2012},
			Pages = {1583--1591},

			Owner = {quoctd},
			Timestamp = {2013.01.10}
			}

			@Article{Romanenko2004,
			Title = {{T}he unscented filter as an alternative to the {EKF} for nonlinear state estimation: a simulation case study},
			Author = {A. Romanenko and J.A.A.M. Castro},
			Journal = {Comp. Chem. Eng.},
			Year = {2004},
			Pages = {347--355},

			Keywords = {NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Romberg2009,
			Title = {Compressive sensing by random convolution},
			Author = {Romberg, Justin},
			Journal = {SIAM Journal on Imaging Sciences},
			Year = {2009},
			Number = {4},
			Pages = {1098--1128},
			Volume = {2},

			Owner = {jmscarlett},
			Publisher = {SIAM},
			Timestamp = {2014.11.25}
			}

			@Article{Ronen2002,
			Title = {Assigning numbers to the arrows: parameterizing a gene regulation network by using accurate expression kinetics.},
			Author = {Michal Ronen and Revital Rosenberg and Boris I Shraiman and Uri Alon},
			Journal = {Proc. Nat. Acad. Sci.},
			Year = {2002},

			Month = {Aug},
			Number = {16},
			Pages = {10555--10560},
			Volume = {99},

			Abstract = {A basic challenge in systems biology is to understand the dynamical behavior of gene regulation networks. Current approaches aim at determining the network structure based on genomic-scale data. However, the network connectivity alone is not sufficient to define its dynamics; one needs to also specify the kinetic parameters for the regulation reactions. Here, we ask whether effective kinetic parameters can be assigned to a transcriptional network based on expression data. We present a combined experimental and theoretical approach based on accurate high temporal-resolution measurement of promoter activities from living cells by using green fluorescent protein (GFP) reporter plasmids. We present algorithms that use these data to assign effective kinetic parameters within a mathematical model of the network. To demonstrate this, we employ a well defined network, the SOS DNA repair system of Escherichia coli. We find a strikingly detailed temporal program of expression that correlates with the functional role of the SOS genes and is driven by a hierarchy of effective kinetic parameter strengths for the various promoters. The calculated parameters can be used to determine the kinetics of all SOS genes given the expression profile of just one representative, allowing a significant reduction in complexity. The concentration profile of the master SOS transcriptional repressor can be calculated, demonstrating that relative protein levels may be determined from purely transcriptional data. This finding opens the possibility of assigning kinetic parameters to transcriptional networks on a genomic scale.},
			Doi = {10.1073/pnas.152046799},
			File = {:BIO/ronen02genetwork.pdf:PDF},
			Institution = {Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.},
			Keywords = {Algorithms; Bacterial Proteins, genetics/metabolism; Escherichia coli, genetics; Gene Expression Regulation, Bacterial; Genes, Reporter; Kinetics; Operon; Promoter Regions, Genetic; SOS Response (Genetics); Serine Endopeptidases, genetics/metabolism; Transcription, Genetic},
			Owner = {baldassarre},
			Pii = {152046799},
			Pmid = {12145321},
			Timestamp = {2009.05.11},
			Url = {http://dx.doi.org/10.1073/pnas.152046799}
			}

			@Book{Roos2006,
			Title = {Interior Point Methods for Linear Optimization},
			Author = {Roos, C. and Terlaky, T. and Vial, J.-Ph.},
			Publisher = {Springer Science},
			Year = {2006},

			Address = {Heidelberg/Boston},
			Note = {(Note: This book is a significantly revised new edition of Interior Point Approach to Linear Optimization: Theory and Algorithms)},

			Owner = {quoctd},
			Timestamp = {2012.06.28}
			}

			@Article{Rosasco2004,
			Title = {Are Loss Functions All the Same?},
			Author = {L. Rosasco and A. Caponnetto and E. De Vito and M. Piana and A. Verri},
			Journal = {Neural Comp.},
			Year = {2004},
			Pages = {1063-1076},
			Volume = {16},

			File = {:Statistical Learning/Rosasco04Loss.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.03.12}
			}

			@TechReport{Rosasco2005,
			Title = {Spectral methods for regularization in learning theory},
			Author = {Rosasco, L. and De Vito, E. and Verri, A.},
			Institution = {DISI, Universit{\'a} degli Studi di Genova, Italy.},
			Year = {2005},

			File = {rosasco2005spectral.pdf:Statistical Learning/rosasco2005spectral.pdf:PDF},
			Owner = {baldassarre},
			Timestamp = {2010.02.04}
			}

			@InProceedings{Rosasco2010,
			Title = {A Regularization Approach to Nonlinear Variable Selection},
			Author = {Rosasco, Lorenzo and Santoro, Matteo and Mosci, Sofia and Verri, Alessandro and Villa, Silvia},
			Booktitle = {Int. Conf. Art. Intel. Stats. (AISTATS)},
			Year = {2010},
			Volume = {13},

			File = {rosasco2010regularization.pdf:Statistical Learning/Multitask/rosasco2010regularization.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Rosen1988,
			Title = {Moments for the inverted {W}ishart distribution},
			Author = {von Rosen, Dietrich},
			Journal = {Scand. J. Stat.},
			Year = {1988},
			Pages = {97--109},
			Volume = {15},

			Owner = {yhli},
			Timestamp = {2014.06.18}
			}

			@Article{Rosen1991,
			Title = {{E}valuation of gradients for piecewise constant optimal control},
			Author = {Rosen, O. and R. Luus},
			Journal = {Comp. Chem. Eng.},
			Year = {1991},
			Pages = {273--281},
			Volume = {15},

			Keywords = {optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Rosipal2002,
			Title = {Kernel partial least squares regression in reproducing kernel hilbert space},
			Author = {Roman Rosipal and Leonard J. Trejo},
			Journal = {J. Mach. Learn. Res.},
			Year = {2002},
			Pages = {97--123},
			Volume = {2},

			Address = {Cambridge, MA, USA},
			File = {rosipal01kernelpls.pdf:Statistical Learning/Vector-valued/rosipal01kernelpls.pdf:PDF},
			ISSN = {1533-7928},
			Owner = {baldazen},
			Publisher = {MIT Press},
			Timestamp = {2008.06.18}
			}

			@Article{Ross2008,
			Title = {Incremental Learning for Robust Visual Tracking},
			Author = {Ross, David and Lim, Jongwoo and Lin, Ruei-Sung and Yang, Ming-Hsuan},
			Journal = {Int. J. Comp. Vision},
			Year = {2008},

			Month = {May},
			Number = {1},
			Pages = {125--141},
			Volume = {77},

			Abstract = {Abstract\ \  Visual tracking, in essence, deals with non-stationary image streams that change over time. While most existing algorithms are able to track objects well in controlled environments, they usually fail in the presence of significant variation of the object’s appearance or surrounding illumination. One reason for such failures is that many algorithms employ fixed appearance models of the target. Such models are trained using only appearance data available before tracking begins, which in practice limits the range of appearances that are modeled, and ignores the large volume of information (such as shape changes or specific lighting conditions) that becomes available during tracking. In this paper, we present a tracking method that incrementally learns a low-dimensional subspace representation, efficiently adapting online to changes in the appearance of the target. The model update, based on incremental algorithms for principal component analysis, includes two important features: a method for correctly updating the sample mean, and a forgetting factor to ensure less modeling power is expended fitting older observations. Both of these features contribute measurably to improving overall tracking performance. Numerous experiments demonstrate the effectiveness of the proposed tracking algorithm in indoor and outdoor environments where the target objects undergo large changes in pose, scale, and illumination.},
			Citeulike-article-id = {2458742},
			Doi = {10.1007/s11263-007-0075-7},
			File = {ross08incremental.pdf:VC/ross08incremental.pdf:PDF},
			Keywords = {filter, learning, online, particle, pca, tracking},
			Owner = {baldazen},
			Priority = {2},
			Timestamp = {2008.03.11},
			Url = {http://dx.doi.org/10.1007\%2Fs11263-007-0075-7}
			}

			@Article{Ross1999,
			Title = {{O}ptimal {D}esign and {C}ontrol of an {I}ndustrial {D}istillation {S}ystem},
			Author = {Ross, R. and Bansal, V. and Perkins, J.D. and Pistikopoulos, E.N. and van Schijndel, J.M.G. and Koot, G.L.M.},
			Journal = {Comp. Chem. Eng.},
			Year = {1999},
			Pages = {S875--S878},
			Volume = {23(SS)},

			Keywords = {optimal control chemistry MIOC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Rosset2007,
			Title = {Piecewise linear regularized solution paths},
			Author = {Rosset, Saharon and Zhu, Ji},
			Journal = {Ann. Stats.},
			Year = {2007},
			Number = {3},
			Pages = {1012--1030},
			Volume = {35},

			Owner = {yhli},
			Timestamp = {2014.07.16}
			}

			@Misc{Rossum2001,
			Title = {{P}ython {R}eference {M}anual, {P}ython{L}abs, {Virginia}, {USA}},

			Author = {van Rossum, G. and Drake, F.L.},
			Year = {2001},

			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{RothJan.2004,
			Title = {The generalized LASSO},
			Author = {Roth, V.},
			Journal = {IEEE Trans. Neur. Nets.},
			Year = {Jan. 2004},
			Number = {1},
			Pages = { 16-28},
			Volume = {15},

			Doi = {10.1109/TNN.2003.809398},
			File = {roth04lasso.pdf:Statistical Learning/Feature Selection/roth04lasso.pdf:PDF},
			ISSN = {1045-9227},
			Keywords = { functional equations, least squares approximations, probability, regression analysis, support vector machines Mercer kernels, generalized LASSO regression, guaranteed global convergence, iteratively reweighted least-squares problems, kernel regression techniques, learning sets, probabilistic interpretation, regression functionals, robust loss functions, support vector machine method, training set},
			Owner = {baldazen},
			Timestamp = {2008.05.20}
			}

			@TechReport{Roth2002,
			Title = {The Generalized LASSO: a wrapper approach to gene selection for microarray data},
			Author = {Volker Roth},
			Institution = {Proceedings 14th International Conference on Automated Deduction (CADE-14), 252--255},
			Year = {2002},

			File = {roth2002generalized.pdf:roth2002generalized.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Rothman2008,
			Title = {Sparse permutation invariant covariance estimation},
			Author = {Rothman, Adam J. and Bickel, Peter J. and Levina, Elizaveta and Zhu, Ji},
			Journal = {Elec. J. Stats.},
			Year = {2008},
			Pages = {494--515},
			Volume = {2},

			Owner = {yhli},
			Timestamp = {2014.06.10}
			}

			@Article{Rothman2009,
			Title = {Generalized thresholding of large covariance matrices},
			Author = {A. J. Rothman and E. Levina and J. Zhu},
			Journal = {J. Amer. Math. Assoc.},
			Year = {2009},
			Pages = {177--186},
			Volume = {104},

			File = {:Papers/Rothman2009.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.11.23}
			}

			@Article{Roweis2000,
			Title = {Nonlinear dimensionality reduction by locally linear embedding.},
			Author = {S. T. Roweis and L. K. Saul},
			Journal = {Science},
			Year = {2000},

			Month = {Dec},
			Number = {5500},
			Pages = {2323--2326},
			Volume = {290},

			Abstract = {Many areas of science depend on exploratory data analysis and visualization. The need to analyze large amounts of multivariate data raises the fundamental problem of dimensionality reduction: how to discover compact representations of high-dimensional data. Here, we introduce locally linear embedding (LLE), an unsupervised learning algorithm that computes low-dimensional, neighborhood-preserving embeddings of high-dimensional inputs. Unlike clustering methods for local dimensionality reduction, LLE maps its inputs into a single global coordinate system of lower dimensionality, and its optimizations do not involve local minima. By exploiting the local symmetries of linear reconstructions, LLE is able to learn the global structure of nonlinear manifolds, such as those generated by images of faces or documents of text.},
			Doi = {10.1126/science.290.5500.2323},
			File = {Statistical Learning\\Roweis00NonlinearReduction.pdf:Statistical Learning\\Roweis00NonlinearReduction.pdf:PDF},
			Keywords = {Algorithms; Artificial Intelligence; Face; Humans; Mathematics; Pattern Recognition, Visual},
			Owner = {BaldaZen},
			Pii = {290/5500/2323},
			Pmid = {11125150},
			Timestamp = {2007.01.29},
			Url = {http://dx.doi.org/10.1126/science.290.5500.2323}
			}

			@Article{Rubinstein2010,
			Title = {Dictionaries for sparse representation modeling},
			Author = {Rubinstein, Ron and Bruckstein, Alfred M and Elad, Michael},
			Journal = {Proc. IEEE},
			Year = {2010},
			Number = {6},
			Pages = {1045--1057},
			Volume = {98},

			File = {rubinstein2010dictionaries.pdf:rubinstein2010dictionaries.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {IEEE},
			Timestamp = {2014.11.25}
			}

			@Article{Rudelson2008,
			Title = {On sparse reconstruction from {F}ourier and {G}aussian measurements},
			Author = {Rudelson, Mark and Vershynin, Roman},
			Journal = {Commun. Pure Appl. Math.},
			Year = {2008},
			Pages = {1025--1045},
			Volume = {LXI},

			Owner = {yhli},
			Timestamp = {2014.02.14}
			}

			@Article{Rudin1992,
			Title = {Nonlinear total variation based noise removal algorithms},
			Author = {Rudin, L.I. and Osher, S. and Fatemi, E.},
			Journal = {Phys. D: Nonlinear Phenomena},
			Year = {1992},
			Number = {1-4},
			Pages = {259--268},
			Volume = {60},

			File = {rudin1992nonlinear.pdf:Statistical Learning\\SPARSITY\\rudin1992nonlinear.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Elsevier},
			Timestamp = {2014.11.25}
			}

			@Article{Ruszczynski1995,
			Title = {On convergence of an augmented Lagrangian decomposition method for sparse convex optimization},
			Author = {A. Ruszczy\'nski},
			Journal = {Math. Oper. Res.},
			Year = {1995},
			Pages = {634--656},
			Volume = {20},

			File = {:Papers/Ruszczynski1995.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Book{Ruszczynski2003,
			Title = {{S}tochastic {P}rogramming, {H}andbook in {O}perations {R}esearch and {M}anagement {S}cience},
			Author = {Ruszczynski, A. and Shapiro, A.},
			Publisher = {Elsevier},
			Year = {2003},

			Address = {Amsterdam},

			Keywords = {textbook},
			Owner = {quoctd},
			Timestamp = {2012.11.25}
			}

			@Book{Saad2003,
			Title = {Iterative Methods for Sparse Linear Systems},
			Author = {Saad, Y.},
			Publisher = {Society for Industrial and Applied Mathematics},
			Year = {2003},

			Address = {Philadelphia, PA, USA},
			Edition = {2nd},

			ISBN = {0898715342},
			Owner = {quoctd},
			Timestamp = {2012.11.25}
			}

			@Article{Sabatti2006,
			Title = {Bayesian sparse hidden components analysis for transcription regulation networks.},
			Author = {Chiara Sabatti and Gareth M James},
			Journal = {Bioinformatics},
			Year = {2006},

			Month = {Mar},
			Number = {6},
			Pages = {739--746},
			Volume = {22},

			Abstract = {MOTIVATION: In systems like Escherichia Coli, the abundance of sequence information, gene expression array studies and small scale experiments allows one to reconstruct the regulatory network and to quantify the effects of transcription factors on gene expression. However, this goal can only be achieved if all information sources are used in concert. RESULTS: Our method integrates literature information, DNA sequences and expression arrays. A set of relevant transcription factors is defined on the basis of literature. Sequence data are used to identify potential target genes and the results are used to define a prior distribution on the topology of the regulatory network. A Bayesian hidden component model for the expression array data allows us to identify which of the potential binding sites are actually used by the regulatory proteins in the studied cell conditions, the strength of their control, and their activation profile in a series of experiments. We apply our methodology to 35 expression studies in E.Coli with convincing results. AVAILABILITY: www.genetics.ucla.edu/labs/sabatti/software.html SUPPLEMENTARY INFORMATION: The supplementary material are available at Bioinformatics online.},
			Comment = {There's also Supplementary Material},
			Doi = {10.1093/bioinformatics/btk017},
			File = {Sabatti06.pdf:BIO/Sabatti06.pdf:PDF},
			Keywords = {Algorithms; Animals; Bayes Theorem; Computer Simulation; Escherichia coli; Escherichia coli Proteins; Gene Expression Profiling; Gene Expression Regulation; Humans; Models, Biological; Oligonucleotide Array Sequence Analysis; Signal Transduction; Transcription Factors},
			Owner = {luca},
			Pii = {btk017},
			Pmid = {16368767},
			Timestamp = {2007.01.25},
			Url = {http://dx.doi.org/10.1093/bioinformatics/btk017}
			}

			@Article{Sabatti2002,
			Title = {Genomewide motif identification using a dictionary model},
			Author = {Sabatti, C. and Lange, K.},
			Journal = {Proc. IEEE},
			Year = {2002},

			Month = {Nov.},
			Number = {11},
			Pages = {1803--1810},
			Volume = {90},

			Doi = {10.1109/JPROC.2002.804689},
			File = {BIO\\SabattiLange02Dictionary.pdf:BIO\\SabattiLange02Dictionary.pdf:PDF},
			Owner = {BaldaZen},
			Timestamp = {2007.02.07}
			}

			@Book{Sachs2002,
			Title = {{A}ngewandte {S}tatistik},
			Author = {L. Sachs},
			Publisher = {Springer},
			Year = {2002},

			Address = {Heidelberg},
			Edition = {10},

			Keywords = {textbook},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Sagastizabal2012,
			Title = {Composite proximal bundle method},
			Author = {C. Sagastiz\'{a}bal},
			Journal = {Math. Program.},
			Year = {2012},
			Pages = {1--45},
			Volume = {xx},

			File = {:Papers/Sagastizabal2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.27}
			}

			@Article{Sagastizabal2005,
			Title = {An infeasible bundle method for nonsmooth convex constrained optimization without a penalty function or a filter},
			Author = {C. Sagastizabal and M. Solodov},
			Journal = {SIAM J. Opt.},
			Year = {2005},
			Pages = {146--169},
			Volume = {16},

			Owner = {quoctd},
			Timestamp = {2014.04.08}
			}

			@Article{Sager2007a,
			Title = {{E}xploiting system homogeneities in large scale optimal control problems for speedup of multiple shooting based {SQP} methods},
			Author = {Sager, S. and Brandt-Pollmann, U. and Diehl, M. and Lebiedz, D. and Bock, H.G.},
			Journal = {Comp. Chem. Eng.},
			Year = {2007},
			Pages = {1181--1186},
			Volume = {31},

			Doi = {10.1016/j.compchemeng.2006.08.013},
			File = {Sager2007a.pdf:Sager2007a.pdf:PDF},
			Keywords = {agbock optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/pii/S0098135406002353}
			}

			@Article{Sahinidis1991,
			Title = {Convergence properties of generalized bendersdecomposition},
			Author = {N.V. Sahinidis and I.E. Grossmann},
			Journal = {Comp. Chem. Eng.},
			Year = {1991},
			Number = {7},
			Pages = {481--491},
			Volume = {15},

			File = {:Papers/Sahinidis1991.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.22}
			}

			@Book{Salas1990,
			Title = {{C}alculus},
			Author = {S.L. Salas and E. Hille},
			Publisher = {Spektrum},
			Year = {1990},

			Address = {Heidelberg},
			Note = {Viele Erl\"auterungen, sehr ausf\"uhrliche Beispiele.},

			Keywords = {textbook},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Salim2006,
			Title = {Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques},
			Author = {Salim, A. and Valafar, F.},
			Year = {2006},
			Month = {0-0 },
			Pages = {2281-2286},

			Doi = {10.1109/IJCNN.2006.247026},
			File = {:BIO/Gene Networks/salim06genetwork.pdf:PDF},
			Journal = {Int. Joint Conf. Neur. Nets.},
			Keywords = {biology computing, data mining, estimation theory, genetics, neural nets, pattern recognitionartificial neural networks, biological processes, data mining, dimensionality reduction, drug targets, gene expression, gene regulatory networks reconstruction, order estimation criteria, pattern recognition, temporal microarray data},
			Owner = {baldassarre},
			Timestamp = {2009.05.12}
			}

			@Article{Salzo2013,
			Title = {Convergence analysis of a proximal {G}auss-{N}ewton method},
			Author = {S. Salzo and S. Villa},
			Journal = {Comp. Opt. Apps.},
			Year = {2013},
			Pages = {1--33},
			Volume = {xx},

			File = {:Papers/Salzo2013.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2013.01.14}
			}

			@InProceedings{Samar2007,
			Title = {Distributed Estimation via Dual Decomposition},
			Author = {S. Samar and S. Boyd and D. Gorinevsky},
			Booktitle = {Proc. European Control Conf. (ECC)},
			Year = {2007},

			Address = {Kos, Greece},
			Pages = {1511--1516},

			File = {:Papers/Samar2007.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Article{Sanguinetti2006,
			Title = {Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities.},
			Author = {Guido Sanguinetti and Neil D Lawrence and Magnus Rattray},
			Journal = {Bioinformatics},
			Year = {2006},

			Month = {Nov},
			Number = {22},
			Pages = {2775--2781},
			Volume = {22},

			Abstract = {MOTIVATION: Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular processes. Recent experimental high-throughput techniques, such as Chromatin Immunoprecipitation (ChIP) provide important information about the architecture of the regulatory networks in the cell. However, it is very difficult to measure the concentration levels of transcription factor proteins and determine their regulatory effect on gene transcription. It is therefore an important computational challenge to infer these quantities using gene expression data and network architecture data. RESULTS: We develop a probabilistic state space model that allows genome-wide inference of both transcription factor protein concentrations and their effect on the transcription rates of each target gene from microarray data. We use variational inference techniques to learn the model parameters and perform posterior inference of protein concentrations and regulatory strengths. The probabilistic nature of the model also means that we can associate credibility intervals to our estimates, as well as providing a tool to detect which binding events lead to significant regulation. We demonstrate our model on artificial data and on two yeast datasets in which the network structure has previously been obtained using ChIP data. Predictions from our model are consistent with the underlying biology and offer novel quantitative insights into the regulatory structure of the yeast cell. AVAILABILITY: MATLAB code is available from http://umber.sbs.man.ac.uk/resources/puma},
			Doi = {10.1093/bioinformatics/btl473},
			File = {chipVarBioinfoRev.pdf:BIO/chipVarBioinfoRev.pdf:PDF},
			Keywords = {Algorithms; Chromatin Immunoprecipitation; Computational Biology; Gene Expression Profiling; Gene Expression Regulation; Gene Expression Regulation, Fungal; Genes, Fungal; Internet; Models, Statistical; Oligonucleotide Array Sequence Analysis; Probability; Regulatory Elements, Transcriptional; Software; Transcription Facto; Transcription, Genetic; rs},
			Owner = {luca},
			Pii = {btl473},
			Pmid = {16966362},
			Timestamp = {2007.01.25},
			Url = {http://dx.doi.org/10.1093/bioinformatics/btl473}
			}

			@Article{Sanguinetti2005,
			Title = {Accounting for probe-level noise in principal component analysis of microarray data.},
			Author = {Guido Sanguinetti and Marta Milo and Magnus Rattray and Neil D Lawrence},
			Journal = {Bioinformatics},
			Year = {2005},

			Month = {Oct},
			Number = {19},
			Pages = {3748--3754},
			Volume = {21},

			Abstract = {MOTIVATION: Principal Component Analysis (PCA) is one of the most popular dimensionality reduction techniques for the analysis of high-dimensional datasets. However, in its standard form, it does not take into account any error measures associated with the data points beyond a standard spherical noise. This indiscriminate nature provides one of its main weaknesses when applied to biological data with inherently large variability, such as expression levels measured with microarrays. Methods now exist for extracting credibility intervals from the probe-level analysis of cDNA and oligonucleotide microarray experiments. These credibility intervals are gene and experiment specific, and can be propagated through an appropriate probabilistic downstream analysis. RESULTS: We propose a new model-based approach to PCA that takes into account the variances associated with each gene in each experiment. We develop an efficient EM-algorithm to estimate the parameters of our new model. The model provides significantly better results than standard PCA, while remaining computationally reasonable. We show how the model can be used to 'denoise' a microarray dataset leading to improved expression profiles and tighter clustering across profiles. The probabilistic nature of the model means that the correct number of principal components is automatically obtained.},
			Doi = {10.1093/bioinformatics/bti617},
			File = {Sanguinetti05 - Probe-level noise.pdf:BIO/Sanguinetti05 - Probe-level noise.pdf:PDF},
			Keywords = {Algorithms; Data Interpretation, Statistical; Gene Expression Profiling; Models, Genetic; Models, Statistical; Oligonucleotide Array Sequence Analysis; Principal Component Analysis; Software; Stochastic Processes},
			Owner = {luca},
			Pii = {bti617},
			Pmid = {16091409},
			Timestamp = {2007.01.25},
			Url = {http://dx.doi.org/10.1093/bioinformatics/bti617}
			}

			@Article{Sanguinetti2006a,
			Title = {A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription.},
			Author = {Guido Sanguinetti and Magnus Rattray and Neil D Lawrence},
			Journal = {Bioinformatics},
			Year = {2006},

			Month = {Jul},
			Number = {14},
			Pages = {1753--1759},
			Volume = {22},

			Abstract = {MOTIVATION: Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular processes. This task, however, is difficult for a number of reasons: transcription factors' expression levels are often low and noisy, and many transcription factors are post-transcriptionally regulated. It is therefore useful to infer the activity of the transcription factors from the expression levels of their target genes. RESULTS: We introduce a novel probabilistic model to infer transcription factor activities from microarray data when the structure of the regulatory network is known. The model is based on regression, retaining the computational efficiency to allow genome-wide investigation, but is rendered more flexible by sampling regression coefficients independently for each gene. This allows us to determine the strength with which a transcription factor regulates each of its target genes, therefore providing a quantitative description of the transcriptional regulatory network. The probabilistic nature of the model also means that we can associate credibility intervals to our estimates of the activities. We demonstrate our model on two yeast datasets. In both cases the network structure was obtained using chromatin immunoprecipitation data. We show how predictions from our model are consistent with the underlying biology and offer novel quantitative insights into the regulatory structure of the yeast cell. AVAILABILITY: MATLAB code is available from http://umber.sbs.man.ac.uk/resources/puma.},
			Doi = {10.1093/bioinformatics/btl154},
			File = {chipChipRev - Sanguinetti - probabilistic dynamic model.pdf:BIO/chipChipRev - Sanguinetti - probabilistic dynamic model.pdf:PDF},
			Keywords = {Computer Simulation; Gene Expression; Gene Expression Profiling; Gene Expression Regulation; Kinetics; Models, Genetic; Models, Statistical; Oligonucleotide Array Sequence Analysis; Regulatory Elements, Transcriptional; Trans-Activation (Genetics); Transcription Factors; Transcription, Genetic},
			Owner = {luca},
			Pii = {btl154},
			Pmid = {16632490},
			Timestamp = {2007.01.25},
			Url = {http://dx.doi.org/10.1093/bioinformatics/btl154}
			}

			@TechReport{Sanguinetti,
			Title = {Modelling transcriptional regulation using Gaussian processes},
			Author = {Sanguinetti, Rattray, Lawrence},

			File = {Modelling transcriptional regulation using Gaussian processes.pdf:BIO/Modelling transcriptional regulation using Gaussian processes.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.25}
			}

			@TechReport{Sanguinetti2006b,
			Title = {A probabilistic model to integrate chip and microarray data},
			Author = {Sanguinetti, Rattray, Lawrence},
			Year = {2006},

			File = {chipTech.pdf:BIO/chipTech.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.25}
			}

			@Article{Santis2012,
			Title = {An active set feasible method for large-scale minimization problems with bound constraints},
			Author = {M.D. Santis and G. Di Pillo and S. Lucidi},
			Journal = {Comp. Opt. Apps.},
			Year = {2012},
			Pages = {1--29},

			File = {:Papers/Santis2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.15}
			}

			@PhdThesis{Santos2000a,
			Title = {{M}ultivariable {P}redictive {C}ontrol of {N}onlinear {C}hemical {P}rocesses},
			Author = {Santos, L.O.},
			School = {Universidade de Coimbra},
			Year = {2000},

			Keywords = {optimal control NMPC chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Santos2000,
			Title = {{O}n-line {I}mplementation of {N}onlinear {MPC}: {A}n experimental case study},
			Author = {Santos, L.O. and P. Afonso and J. Castro and {N. M.C. de} {Oliveira} and L.T. Biegler},
			Booktitle = {Int. Smp. Adv. Control Chem. Proc.},
			Year = {2000},

			Address = {Pisa},
			Pages = {731--736},
			Volume = {2},

			Keywords = {optimal control NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Santos1995,
			Title = {{R}eliable and efficient optimization strategies for nonlinear model predictive control},
			Author = {Santos, L.O. and {N.M.C de} {Oliveira} and L.T. Biegler},
			Booktitle = {Proc. Fourth {IFAC} Symposium {DYCORD+'95}},
			Year = {1995},

			Address = {Oxford},
			Pages = {33--38},
			Publisher = {Elsevier Science},

			Keywords = {optimal control NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Sargent1978,
			Title = {{T}he development of an efficient optimal control package},
			Author = {Sargent, R.W.H. and G.R. Sullivan},
			Booktitle = {Proc. Conf. Opt. Techniques},
			Year = {1978},

			Address = {Heidelberg},
			Editor = {J. Stoer},
			Publisher = { Springer},

			Keywords = {optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Conference{Sarkar2010,
			Title = {Theoretical justification of popular link prediction heuristics},
			Author = {Sarkar, P. and Chakrabarti, D. and Moore, A.},
			Booktitle = {Int. Conf. Learn. Theory (COLT)},
			Year = {2010},
			Pages = {295--307},

			File = {sarkar2010theoretical.pdf:Statistical Learning/EBB/sarkar2010theoretical.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@InProceedings{Sarvotham2006,
			Title = {Measurements versus bits: Compressed sensing meets information theory},
			Author = {S. Sarvotham and D. Baron and R. G. Baraniuk},
			Booktitle = {Allerton Conf. on Comm., Control and Comp.},
			Year = {2006},
			Month = {Sept.},

			Owner = {Jono},
			Timestamp = {2014.08.30}
			}

			@Article{Saul2003,
			Title = {Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds},
			Author = {Lawrence K. Saul and SamT. Roweis},
			Journal = {J. Mach. Learn. Res.},
			Year = {2003},
			Pages = {119-155},
			Volume = {4},

			File = {SaulRoweis03Manifold.pdf:Statistical Learning/Manifold/SaulRoweis03Manifold.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.03.01}
			}

			@InCollection{Saunders1996,
			Title = {Cholesky-based methods for sparse least squares: the benefits of regularization},
			Author = {Saunders, Michael A.},
			Booktitle = {Linear and nonlinear conjugate gradient-related methods ({S}eattle, {WA}, 1995)},
			Publisher = {SIAM},
			Year = {1996},

			Address = {Philadelphia, PA},
			Pages = {92--100},

			File = {Saunders1996.pdf:Saunders1996.pdf:PDF},
			Mrclass = {65F30 (65K05)},
			Mrnumber = {1446299},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Saunderson2012,
			Title = {Diagonal and low-rank matrix decompositions, correlation matrices, and ellipsoid fitting},
			Author = {Saunderson, James and Chandrasekaran, Venkat and Parrilo, Pablo A and Willsky, Alan S},
			Journal = {SIAM Journal on Matrix Anal. and Apps.},
			Year = {2012},
			Number = {4},
			Pages = {1395--1416},
			Volume = {33},

			Date-added = {2014-08-12 14:33:51 +0000},
			Date-modified = {2014-08-12 14:33:51 +0000},
			Owner = {jmscarlett},
			Publisher = {SIAM},
			Timestamp = {2014.11.25}
			}

			@TechReport{Savorgnan2010,
			Title = {Control benchmark of a hydro power plant},
			Author = {C. Savorgnan and M. Diehl},
			Institution = {Optimization in Engineering Center, KU Leuven, http:/homes.esat.kuleuven.be/~mdiehl},
			Year = {2010},
			Type = {Tech. Report},

			File = {:Papers/Savorgnan2010.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.08},
			Url = {http:/homes.esat.kuleuven.be/~mdiehl}
			}

			@Article{Savorgnan2011,
			Title = {Multiple shooting for distributed systems with applications in hydro electricity production},
			Author = {C. Savorgnan and C. Romani and A. Kozma and M. Diehl},
			Journal = {J. Proc. Control},
			Year = {2011},
			Pages = {738-745},
			Volume = {21},

			Doi = {DOI: 10.1016/j.jprocont.2011.01.011},
			File = {Savorgnan2011.pdf:Savorgnan2011.pdf:PDF},
			ISSN = {0959-1524},
			Keywords = {Model predictive control optec distributed},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Saxena2006,
			Title = {Robotic grasping of novel objects},
			Author = {A Saxena and J. Driemeyer and J. Kearns and A. Y. Ng},
			Booktitle = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2006},

			Owner = {baldassarre},
			Timestamp = {2010.01.29}
			}

			@PhdThesis{Scarlett2014b,
			Title = {Reliable Communication Under Mismatched Decodingg},
			Author = {Jonathan Scarlett},
			School = {University of Cambridge},
			Year = {2014},
			Note = {http://itc.upf.edu/biblio/1061},

			Owner = {jms265},
			Timestamp = {2014.08.22}
			}

			@Unpublished{Scarlett2013c,
			Title = {On the Dispersions of the {G}el'fand-{P}insker Channel and Dirty Paper Coding},
			Author = {J. Scarlett},
			Note = {Submitted to \emph{IEEE Trans. Inf. Theory}, http://arxiv.org/abs/1309.6200},

			Month = {Nov.},
			Year = {2013},

			Owner = {Jono},
			Timestamp = {2013.09.22}
			}

			@Article{Scarlett2013a,
			Title = {Compressed Sensing With Prior Information: Information-Theoretic Limits and Practical Decoders},
			Author = {Scarlett, J. and Evans, J.S. and Dey, S.},
			Journal = {IEEE Trans. Sig. Proc.},
			Year = {2013},

			Month = {Jan.},
			Number = {2},
			Pages = {427-439},
			Volume = {61},

			ISSN = {1053-587X},
			Owner = {jmscarlett}
			}

			@Article{Scarlett2014,
			Title = {Mismatched Decoding: Error Exponents, Second-Order Rates and Saddlepoint Approximations},
			Author = {Jonathan Scarlett and Alfonso Martinez and Albert {Guill{\'e}n i F\`{a}bregas}},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2014},

			Month = {May},
			Number = {5},
			Pages = {2647-2666},
			Volume = {60},

			Owner = {Jono},
			Timestamp = {2012.12.10}
			}

			@Unpublished{Scarlett2013,
			Title = {Multiuser coding techniques for mismatched decoding},
			Author = {Jonathan Scarlett and Alfonso Martinez and Albert {Guill{\'e}n i F\`{a}bregas}},
			Note = {Submitted to \emph{IEEE Trans. Inf. Theory}, http://arxiv.org/abs/1311.6635},

			Month = {Nov.},
			Year = {2013},

			Owner = {Jono},
			Timestamp = {2012.12.10}
			}

			@Conference{Scarlett2013b,
			Title = {Cost-Constrained Random Coding and Applications},
			Author = {Jonathan Scarlett and Alfonso Martinez and Albert {Guill\'{e}n i F\`{a}bregas}},
			Booktitle = {Inf. Theory and Apps. Workshop},
			Year = {2013},

			Address = {San Diego, CA},
			Month = {Feb.},

			Owner = {Jono},
			Timestamp = {2012.11.20}
			}

			@Article{Scarlett2014a,
			Title = {Expurgated Random-Coding Ensembles: Exponents, Refinements and Connections},
			Author = {Jonathan Scarlett and Li Peng and Neri Merhav and Alfonso Martinez and Albert {Guill\'{e}n i F\`{a}bregas}},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2014},

			Month = {Aug.},
			Number = {8},
			Pages = {4449-4462},
			Volume = {60},

			Owner = {Jono},
			Timestamp = {2013.05.05}
			}

			@Unpublished{Scarlett2013d,
			Title = {Second-Order Asymptotics for the {G}aussian {MAC} with Degraded Message Sets},
			Author = {Jonathan Scarlett and Vincent Y. F. Tan},
			Note = {Submitted to \emph{IEEE Trans. Inf. Theory} (revised Aug. 2014), http://arxiv.org/abs/1310.1197},

			Month = {Oct.},
			Year = {2013},

			Owner = {jms265},
			Timestamp = {2013.10.10}
			}

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			File = {scholkopf01representer.pdf:Statistical Learning/scholkopf01representer.pdf:PDF},
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			Owner = {baldazen},
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			Citeulike-article-id = {1190617},
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			Title = {{A}n exact {H}essian {SQP} method for ill-conditioned optimal control problems},
			Author = {A.A.S. Sch\"afer and Bock, H.G. and Schl\"oder, J.P. and Leineweber, D.B.},
			Institution = {Universit\"at Heidelberg},
			Year = {2001},
			Number = {01-XX},
			Type = {IWR-Pre\-print},

			Keywords = {agbockSQP optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Title = {{F}ast {O}ptimal {C}ontrol {A}lgorithms with {A}pplication to {C}hemical {E}ngineering},
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			Year = {2003},

			Address = {Heidelberg},
			Editor = {Ahr, D. and Fahrion, R. and Oswald, M. and Reinelt, G.},
			Pages = {300--307},
			Publisher = {Springer},

			Citeseerurl = {http://books.google.be/books?id=H9jMu08MrgkC&pg=PA300&lpg=PA300&dq=Fast+Optimal+Control+Algorithms+with+Application+to+Chemical+Operations+Research+Proceedings&source=bl&ots=N4CLgvRF9R&sig=O4zsnr3v3_0a9cLKmbQwYJdUVT4&hl=en&sa=X&ei=Mm8yT42CMMqp8QOu1tT2Bg&redir_esc=y#v=onepage&q&f=false},
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			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.springer.com/business+%26+management/operations+research/book/978-3-540-21445-8}
			}

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			Year = {2010},
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			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
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			Address = {Frankfurt, Germany},
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			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
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			Keywords = {optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
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			Title = {Maximum-margin matrix factorization},
			Author = {Nathan Srebro and Jason D. M. Rennie and Tommi S. Jaakkola},
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			Year = {2005},
			Pages = {1329--1336},
			Publisher = {MIT Press},

			File = {:Statistical Learning/srebro05maxmargin.pdf:PDF},
			Keywords = {matrix factorization, collaborative filtering},
			Owner = {baldazen},
			Timestamp = {2009.02.05}
			}

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			Title = {On the convergence of the concave-convex procedure},
			Author = {B.K. Sriperumbudur and G.R.G. Lanckriet},
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			Timestamp = {2012.04.09}
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			Title = {$\ell_1$-penalization for mixture regression models},
			Author = {St{\"a}dler, Nicolas and B{\"u}hlmann, Peter and van de Geer, Sara},
			Journal = {Test},
			Year = {2010},
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			Volume = {19},

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			Owner = {jmscarlett},
			Publisher = {Springer},
			Timestamp = {2014.11.25}
			}

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			Title = {$l_1$-Penalization for Mixture Regression Models},
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			Pages = {1--35},

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			}

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			Author = {W.A. Stahel},
			Publisher = {Vieweg},
			Year = {2002},

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			Edition = {4},

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			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

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			Author = {Stanley, R.P.},
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			Owner = {quoctd},
			Timestamp = {2013.08.23}
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			Timestamp = {2013.08.23}
			}

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			Title = {Morphological component analysis},
			Author = {Starck, J-L and Moudden, Y and Bobin, J and Elad, M and Donoho, DL},
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			Year = {2005},
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			Pages = {59140Q--59140Q},

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			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Statnikov2005,
			Title = {A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis.},
			Author = {Alexander Statnikov and Constantin F Aliferis and Ioannis Tsamardinos and Douglas Hardin and Shawn Levy},
			Journal = {Bioinformatics},
			Year = {2005},

			Month = {Mar},
			Number = {5},
			Pages = {631--643},
			Volume = {21},

			Abstract = {MOTIVATION: Cancer diagnosis is one of the most important emerging clinical applications of gene expression microarray technology. We are seeking to develop a computer system for powerful and reliable cancer diagnostic model creation based on microarray data. To keep a realistic perspective on clinical applications we focus on multicategory diagnosis. To equip the system with the optimum combination of classifier, gene selection and cross-validation methods, we performed a systematic and comprehensive evaluation of several major algorithms for multicategory classification, several gene selection methods, multiple ensemble classifier methods and two cross-validation designs using 11 datasets spanning 74 diagnostic categories and 41 cancer types and 12 normal tissue types. RESULTS: Multicategory support vector machines (MC-SVMs) are the most effective classifiers in performing accurate cancer diagnosis from gene expression data. The MC-SVM techniques by Crammer and Singer, Weston and Watkins and one-versus-rest were found to be the best methods in this domain. MC-SVMs outperform other popular machine learning algorithms, such as k-nearest neighbors, backpropagation and probabilistic neural networks, often to a remarkable degree. Gene selection techniques can significantly improve the classification performance of both MC-SVMs and other non-SVM learning algorithms. Ensemble classifiers do not generally improve performance of the best non-ensemble models. These results guided the construction of a software system GEMS (Gene Expression Model Selector) that automates high-quality model construction and enforces sound optimization and performance estimation procedures. This is the first such system to be informed by a rigorous comparative analysis of the available algorithms and datasets. AVAILABILITY: The software system GEMS is available for download from http://www.gems-system.org for non-commercial use. CONTACT: alexander.statnikov@vanderbilt.edu.},
			Doi = {10.1093/bioinformatics/bti033},
			File = {Statnikov05Multiclass.pdf:Statistical Learning/Multiclass/Statnikov05Multiclass.pdf:PDF},
			Keywords = {Algorithms; Artificial Intelligence; Cluster Analysis; Diagnosis, Computer-Assisted; Gene Expression Profiling; Genetic Predisposition to Disease; Genetic Screening; Humans; Neoplasm Proteins; Neoplasms; Oligonucleotide Array Sequence Analysis; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Software; Tumor Markers, Biological; User-Computer Interface},
			Owner = {luca},
			Pii = {bti033},
			Pmid = {15374862},
			Timestamp = {2007.03.12},
			Url = {http://dx.doi.org/10.1093/bioinformatics/bti033}
			}

			@Article{Stegeman2010,
			Title = {Subtracting a best rank-1 approximation may increase tensor rank},
			Author = {Stegeman, Alwin and Comon, Pierre},
			Journal = {Lin. Alg. Apps.},
			Year = {2010},
			Number = {7},
			Pages = {1276--1300},
			Volume = {433},

			Owner = {jmscarlett},
			Publisher = {Elsevier},
			Timestamp = {2014.11.25}
			}

			@Article{Stein1981,
			Title = {Estimation of the mean of a multivariate normal distribution},
			Author = {Stein, Charles M.},
			Journal = {Ann. Stats.},
			Year = {1981},
			Number = {6},
			Pages = {1135--1151},
			Volume = {9},

			Owner = {yhli},
			Timestamp = {2014.07.04}
			}

			@PhdThesis{Steinbach1995,
			Title = {{F}ast recursive {SQP} methods for large-scale optimal control problems},
			Author = {Steinbach, {M.C.}},
			School = {Universit\"at Heidelberg},
			Year = {1995},

			Address = {{IWR}},
			Type = {{P}h{D} thesis},

			File = {Steinbach1995.pdf:Steinbach1995.pdf:PDF},
			Keywords = {agbock SQP optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Steinwart2005,
			Title = {Consistency of support vector machines and other regularized kernel classifiers},
			Author = {Steinwart, I.},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2005},
			Number = {1},
			Pages = {128--142},
			Volume = {51},

			File = {steinwart2005consistency.pdf:Statistical Learning/steinwart2005consistency.pdf:PDF},
			Owner = {baldassarre},
			Timestamp = {2009.11.04}
			}

			@Book{Steinwart2008,
			Title = {Support Vector Machines},
			Author = {Steinwart, Ingo and Christmann, Andreas},
			Publisher = {Springer Publishing Company, Incorporated},
			Year = {2008},
			Edition = {1st},

			File = {:Statistical Learning\\Support Vector Machines by Ingo Steinwart.pdf:PDF},
			ISBN = {0387772413},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Stephanopoulos1975,
			Title = {The use of {H}estenes' method of multipliers to resolve dual gaps in engineering system optimization},
			Author = {Stephanopoulos, G. and Westerberg A.W.},
			Journal = {J. Opt. Theory and Apps.},
			Year = {1975},
			Pages = {285--309},
			Volume = {15},

			Owner = {quoctd},
			Timestamp = {2012.06.07}
			}

			@Conference{Sternberg2012c,
			Title = {{R}obust and {S}table {P}eriodic {F}light of {P}ower {G}enerating {K}ite {S}ystems in a {T}urbulent {W}ind {F}low {F}ield},
			Author = {Julia Sternberg and Jay Goit and Sebastien Gros and Johan Meyers and Moritz Diehl},
			Booktitle = {IFAC Workshop on Control Apps. of Opt.},
			Year = {2012},

			Abstract = {Power-generating kite systems extract energy from the wind by periodically pulling a generator on the ground while flying fast in a crosswind direction. Kite systems are intrinsically unstable, and subject to atmospheric turbulences. As an alternative to closed-loop control, this paper investigates the open-loop stabilization and robustification of a kite system using techniques based on the solution of Lyapunov differential equation. A wind flow is computed as a solution to a time-dependent three dimensional Navier-Stokes equation. Open-loop stable trajectories for the power-generating kite system are computed based on the statistical properties of the wind field, and are robustified with respect to the system constraints. The stability and robustness of the resulting trajectories are assessed by simulating the system using the computed time- and space-dependent turbulent wind flow.},
			File = {:Sternberg2012d.pdf:PDF},
			Owner = {julia},
			Timestamp = {2012.06.27}
			}

			@Conference{Sternberg2012a,
			Title = {{A}pproximate {R}obust {O}ptimal {C}ontrol of {P}eriodic {S}ystems with {I}nvariants and {H}igh-{I}ndex {D}ifferential {A}lgebraic {S}ystems},
			Author = {J. Sternberg and S. Gros and B. Houska and M. Diehl},
			Booktitle = {IFAC Symp. Robust Control Design},
			Year = {2012},
			Pages = {678-683},

			Abstract = {In this paper we present solution approaches for uncertain periodic optimal control problems with invariants that arise e.g., after index reduction of high-index differential algebraic systems. There are two difficulties to be addressed: first, we encounter a redundancy in the periodic boundary constraints which is due to the presence of invariants. And second, we have to deal with the presence of uncertainties. To address the first problem we discuss both a projection and a null-space based reformulation approaches that avoid the redundancies in the constraints. Concerning the uncertainties, we discuss an approximate robust optimal control formulation based on Lyapunov differential equations. Here, the invariants and periodic boundary constraints have to be taken into account, too. We illustrate our techniques by optimizing an open-loop controlled inverted pendulum which is described by index three differential algebraic equations and is affected by unknown forces.},
			File = {:Sternberg2012b.pdf:PDF},
			Journal = {{I}n {P}roceedings of the 7th {I}{F}{A}{C} {S}ymposium on {R}obust {C}ontrol {D}esign},
			Owner = {julia},
			Timestamp = {2012.06.27}
			}

			@Conference{Sternberg2012,
			Title = {{A} {S}tructure {E}xploiting {A}lgorithm for {A}pproximate {R}obust {O}ptimal {C}ontrol with {A}pplication to {P}ower {G}enerating {K}ites},
			Author = {J. Sternberg and B. Houska and M. Diehl},
			Booktitle = {Proc. Amer. Control Conf.},
			Year = {2012},

			Abstract = {In the present paper we discuss numerical solution strategies for robust optimal control problems. Here, our motivation is to optimize the dynamic open-loop behaviour of a kite, which is affected by unknown wind turbulence. After reviewing some existing strategies for robust optimal control, we specialize on a particular approach which uses a Lyapunov differential equation in order to approximate the influence of the uncertainties on the state of the dynamic system and to guarantee stability of periodic systems. We propose strategies to exploit the structure of the corresponding formulation and provide an open-source implementation of the algorithm. The practical advantage of this implementation is illustrated by applying it to a robustness and stability optimization problem for a power generating kite system. Here, the model equations and system parameters are inspired from a real-world application.},
			File = {:Sternberg2012a.pdf:PDF},
			Owner = {julia},
			Timestamp = {2012.06.27}
			}

			@Conference{Sternberg2012b,
			Title = {{A} {T}oolkit for {E}fficient {C}omputation of {S}ensitivities in {A}pproximate {R}obust {O}ptimal {C}ontrol {P}roblems},
			Author = {J. Sternberg and B. Houska and F. Logist and D. Telen and J. Van Impe and M. Diehl},
			Booktitle = {IFAC Symp. Robust Control Design},
			Year = {2012},
			Pages = {183--188},

			Abstract = {Efficient solution approaches for optimal control problems where the dynamics are described by uncertain differential equations are discussed in the present paper. Problems with uncertainties can be addressed by the robust worst-case formulation. In order to numerically solve the robust counterpart for the optimal control problem several approximation techniques can be employed. In this paper we use an approach based on linearization and solution of Lyapunov differential equations. We exploit the structure of the Lyapunov equation in the optimal control context providing an efficient numerical implementation. The capabilities and computational times of the new approach are demonstrated on two (bio)chemical examples.},
			File = {:Sternberg2012c.pdf:PDF},
			Owner = {julia},
			Timestamp = {2012.06.27}
			}

			@Article{Stewart2009,
			Title = {On certain inequalities involving the {L}ambert {$W$} function},
			Author = {Stewart, Se\'{a}n M.},
			Journal = {J. Ineq. Pure App. Math.},
			Year = {2009},
			Volume = {10},

			Owner = {yhli},
			Timestamp = {2014.08.28}
			}

			@Article{Stingl2009,
			Title = {{A} {S}equential {C}onvex {S}emidefinite {P}rogramming {A}lgorithm for {M}ultiple-{L}oad {F}ree {M}aterial {O}ptimization},
			Author = {M. Stingl and M. Kocvara and and G. Leugering},
			Journal = {SIAM J. Opt.zation},
			Year = {2009},
			Number = {1},
			Pages = {130--155},
			Volume = {20},

			File = {:Papers/Stingl2009.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.08}
			}

			@Article{Stojnic2009,
			Title = {On the reconstruction of block-sparse signals with an optimal number of measurements},
			Author = {Stojnic, M. and Parvaresh, F. and Hassibi, B.},
			Journal = {IEEE Trans. Sig. Proc.},
			Year = {2009},
			Number = {8},
			Pages = {3075--3085},
			Volume = {57},

			File = {stojnic2009reconstruction.pdf:COMPRESSIVE SENSING/stojnic2009reconstruction.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {IEEE},
			Timestamp = {2014.11.25}
			}

			@InProceedings{Stojnic2008,
			Title = {Compressed sensing-probabilistic analysis of a null-space characterization},
			Author = {Stojnic, M. and Xu, W. and Hassibi, B.},
			Booktitle = {IEEE Int. Conf. Acoustics, Speech, and Sig. Proc. (ICASSP)},
			Year = {2008},
			Organization = {IEEE},
			Pages = {3377--3380},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Book{Strehmel1995,
			Title = {{N}umerik gew\"ohnlicher {D}ifferentialgleichungen},
			Author = {Strehmel, K. and Weiner, R.},
			Publisher = {Teubner},
			Year = {1995},

			Address = {Stuttgart},

			Keywords = {ODE},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Strohmer2009a,
			Title = {Comments on the randomized Kaczmarz method},
			Author = {Strohmer, Thomas and Vershynin, Roman},
			Journal = {J. Fourier Anal. and Apps.},
			Year = {2009},
			Number = {4},
			Pages = {437--440},
			Volume = {15},

			File = {strohmer2009comments.pdf:strohmer2009comments.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Springer},
			Timestamp = {2014.11.25}
			}

			@Article{Strohmer2009b,
			Title = {A randomized Kaczmarz algorithm with exponential convergence},
			Author = {Strohmer, Thomas and Vershynin, Roman},
			Journal = {J. Fourier Anal. and Apps.},
			Year = {2009},
			Number = {2},
			Pages = {262--278},
			Volume = {15},

			File = {strohmer2009randomized.pdf:COMPRESSIVE SENSING/strohmer2009randomized.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Springer},
			Timestamp = {2014.11.25}
			}

			@Article{Studer2012b,
			Title = {Recovery of sparsely corrupted signals},
			Author = {Studer, Ghristoph and Kuppinger, Patrick and Pope, Graeme and B\"{o}lcskei, Helmut},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2012},

			Month = may,
			Number = {5},
			Pages = {3115--3130},
			Volume = {58},

			Owner = {yhli},
			Timestamp = {2014.07.22}
			}

			@Article{Studer2012,
			Title = {Compressive fluorescence microscopy for biological and hyperspectral imaging},
			Author = {Studer, Vincent and Bobin, J\'{e}rome and Chahid, Makhlad and Mousavi, Hamed Shams and Candes, Emmanuel and Dahan, Maxime},
			Journal = {Proc. Nat. Acad. Sci.},
			Year = {2012},

			Month = jun,
			Number = {26},
			Pages = {E1679--E1687},
			Volume = {109},

			Owner = {yhli},
			Timestamp = {2014.06.24}
			}

			@Article{Sturm1999,
			Title = {Using SeDuMi 1.02: A Matlab toolbox for optimization over symmetric cones},
			Author = {F. Sturm},
			Journal = {Opt. Methods and Softw.},
			Year = {1999},
			Pages = {625--653},
			Volume = {11-12},

			File = {:Papers/Sturm1999.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.08}
			}

			@Article{Subramanian2005,
			Title = {Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles},
			Author = {Subramanian, A. and Tamayo, P. and Mootha, V.K. and Mukherjee, S. and Ebert, B.L. and Gillette, M.A. and Paulovich, A. and Pomeroy, S.L. and Golub, T.R. and Lander, E.S. and others},
			Journal = {Proc. Nat. Acad. Sci.},
			Year = {2005},
			Number = {43},
			Pages = {15545--15550},
			Volume = {102},

			File = {subramanian2005gene.pdf:subramanian2005gene.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {National Acad Sciences},
			Timestamp = {2014.11.25}
			}

			@Article{Sun2006,
			Title = {The strong second order sufficient condition and constraint non-degeneracy in nonlinear semidefinite programming and their implications},
			Author = {D. Sun},
			Journal = {Math. Oper. Res.},
			Year = {2006},
			Number = {4},
			Pages = {761--776},
			Volume = {31},

			File = {:Papers/Sun2006.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@InProceedings{Sutton2000,
			Title = {{P}erformance and {C}omputational {I}mplementation of {N}onlinear {M}odel {P}redictive {C}ontrol on a {S}ubmarine},
			Author = {Sutton, G.J. and Bitmead, R.R.},
			Booktitle = {Nonlinear Predictive Control},
			Year = {2000},

			Address = {Basel Boston Berlin},
			Editor = {F. Allg\"ower and A. Zheng},
			Pages = {461--472},
			Publisher = {Birkh\"auser},
			Series = {Progress in Systems Theory},
			Volume = {26},

			Key = {ISBN 3-7643-6297-9},
			Keywords = {optimal control NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Svanberg1987,
			Title = {The method of moving asymptotes - a new method for structural optimization},
			Author = {K. Svanberg},
			Journal = {Int. J. Numer. Meths. Engng.},
			Year = {1987},
			Pages = {359--373},
			Volume = {24},

			File = {:Papers/Svanberg1987.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.08}
			}

			@InProceedings{Szabo2011,
			Title = {Online group-structured dictionary learning},
			Author = {Szab{\'o}, Z. and P{\'o}czos, B. and Lorincz, A.},
			Booktitle = {Comp. Vis. Pattern Recog. (CVPR)},
			Year = {2011},
			Organization = {IEEE},
			Pages = {2865--2872},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Szafranski2010,
			Title = {Composite kernel learning},
			Author = {Szafranski, M. and Grandvalet, Y. and Rakotomamonjy, A.},
			Journal = {Mach. Learn.},
			Year = {2010},
			Number = {1},
			Pages = {73--103},
			Volume = {79},

			File = {szafranski2010composite.pdf:Statistical Learning\\Kernel Learning\\szafranski2010composite.pdf:PDF},
			Keywords = {kernel learning, group lasso, svm},
			Owner = {jmscarlett},
			Publisher = {Springer},
			Timestamp = {2014.11.25}
			}

			@TechReport{Szedmak2005a,
			Title = {Learning via Linear Operators: Maximum Margin Regression},
			Author = {Sandor Szedmak and John Shawe-taylor and Isis Group},
			Institution = {In Proceedings of 2001 IEEE International Conference on Data Mining},
			Year = {2005},

			File = {szedmak2005learning.pdf:Statistical Learning/szedmak2005learning.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@TechReport{Szedmak2005,
			Title = {Multiclass Learning at One-Class Complexity},
			Author = {Szedmak, S. and Shawe-Taylor, J.},
			Institution = {School of Electronics and Computer Science, Southampton, UK.},
			Year = {2005},

			File = {szedmak05multiclass.pdf:Statistical Learning/Multiclass/szedmak05multiclass.pdf:PDF},
			Owner = {baldazen},
			Timestamp = {2008.06.26}
			}

			@TechReport{Szlam,
			Title = {A general framework for adaptive regularization based on
			diffusion processes on graphs},
			Author = {Szlam, Maggioni, Coifman},

			File = {MaggioniCoifmanDiffusionRegularization.pdf:Statistical Learning/MaggioniCoifmanDiffusionRegularization.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.26}
			}

			@InProceedings{Szummer2003,
			Title = {Information Regularization with Partially Labeled Data},
			Author = {Martin Szummer and Tommi Jaakkola},
			Booktitle = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2003},
			Month = {jan},
			Pages = {1025-1032},
			Publisher = {{MIT} Press},
			Volume = {15},

			Citeseerurl = {citeseer.ist.psu.edu/szummer03information.html},
			File = {Statistical Learning\\szummer03information.pdf:Statistical Learning\\szummer03information.pdf:PDF},
			Owner = {BaldaZen},
			Timestamp = {2007.01.29},
			Url = {http://research.microsoft.com/~szummer/papers/SzummerJaakkola-nips02.pdf}
			}

			@Article{Tuetuenkue2003,
			Title = {Solving semidefinite-quadratic-linear programs using SDPT3},
			Author = {R.H. T\"{u}t\"{u}nk\"{u} and K.C. Toh and M.J. Todd},
			Journal = {Math. Program.},
			Year = {2003},
			Pages = {189--217},
			Volume = {95},

			File = {:Papers/Tutunku2003.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.08}
			}

			@Article{Tai2007,
			Title = {Incorporating prior knowledge of gene functional groups into regularized discriminant analysis of microarray data.},
			Author = {Feng Tai and Wei Pan},
			Journal = {Bioinformatics},
			Year = {2007},

			Month = {Dec},
			Number = {23},
			Pages = {3170--3177},
			Volume = {23},

			Abstract = {MOTIVATION: Discriminant analysis for high-dimensional and low-sample-sized data has become a hot research topic in bioinformatics, mainly motivated by its importance and challenge in applications to tumor classifications for high-dimensional microarray data. Two of the popular methods are the nearest shrunken centroids, also called predictive analysis of microarray (PAM), and shrunken centroids regularized discriminant analysis (SCRDA). Both methods are modifications to the classic linear discriminant analysis (LDA) in two aspects tailored to high-dimensional and low-sample-sized data: one is the regularization of the covariance matrix, and the other is variable selection through shrinkage. In spite of their usefulness, there are potential limitations with each method. The main concern is that both PAM and SCRDA are possibly too extreme: the covariance matrix in the former is restricted to be diagonal while in the latter there is barely any restriction. Based on the biology of gene functions and given the feature of the data, it may be beneficial to estimate the covariance matrix as an intermediate between the two; furthermore, more effective shrinkage schemes may be possible. RESULTS: We propose modified LDA methods to integrate biological knowledge of gene functions (or variable groups) into classification of microarray data. Instead of simply treating all the genes independently or imposing no restriction on the correlations among the genes, we group the genes according to their biological functions extracted from existing biological knowledge or data, and propose regularized covariance estimators that encourages between-group gene independence and within-group gene correlations while maintaining the flexibility of any general covariance structure. Furthermore, we propose a shrinkage scheme on groups of genes that tends to retain or remove a whole group of the genes altogether, in contrast to the standard shrinkage on individual genes. We show that one of the proposed methods performed better than PAM and SCRDA in a simulation study and several real data examples.},
			Doi = {10.1093/bioinformatics/btm488},
			File = {tai07prior.pdf:BIO/Gene Expression/tai07prior.pdf:PDF},
			Keywords = {Algorithms; Artificial Intelligence; Data Interpretation, Statistical; Discriminant Analysis; Gene Expression Profiling; Multigene Family; Oligonucleotide Array Sequence Analysis; Pattern Recognition, Automated},
			Owner = {baldazen},
			Pii = {btm488},
			Pmid = {17933851},
			Timestamp = {2008.04.15},
			Url = {http://dx.doi.org/10.1093/bioinformatics/btm488}
			}

			@Book{Talagrand2005,
			Title = {The Generic Chaining},
			Author = {Talagrand, Michel},
			Publisher = {Springer-Verl.},
			Year = {2005},

			Address = {Berlin},

			Owner = {yhli},
			Timestamp = {2014.07.25}
			}

			@Misc{Talairach1988,
			Title = {A stereotactic coplanar atlas of the human brain},

			Author = {Talairach, P. and Tournoux, J.},
			Year = {1988},

			Owner = {jmscarlett},
			Publisher = {Stuttgart: Thieme},
			Timestamp = {2014.11.25}
			}

			@Article{Tamimi2010,
			Title = {A combined approach to nonlinear model predictive control of fast systems},
			Author = {Jasem Tamimi and Pu Li},
			Journal = {J. Proc. Control},
			Year = {2010},
			Note = {ADCHEM 2009 Special Issue},
			Number = {9},
			Pages = {1092 - 1102},
			Volume = {20},

			Doi = {DOI: 10.1016/j.jprocont.2010.06.002},
			File = {Tamimi2010.pdf:Tamimi2010.pdf:PDF},
			ISSN = {0959-1524},
			Keywords = {Nonlinear model predictive control},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/pii/S0959152410001137}
			}

			@Article{Tan2014,
			Title = {Strong Impossibility Results for Sparse Signal Processing},
			Author = {Tan, V.Y.F. and Atia, G.K.},
			Journal = {IEEE Sig. Proc. Letters},
			Year = {2014},

			Month = {March},
			Number = {3},
			Pages = {260-264},
			Volume = {21},

			ISSN = {1070-9908},
			Owner = {jmscarlett}
			}

			@Article{Tan2014a,
			Title = {On the Dispersions of Three Network Information Theory Problems},
			Author = {Tan, V.Y.F. and Kosut, O.},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2014},

			Month = {Feb.},
			Number = {2},
			Pages = {881-903},
			Volume = {60},

			Doi = {10.1109/TIT.2013.2291231},
			ISSN = {0018-9448},
			Keywords = {broadcast channels;channel coding;entropy codes;error statistics;matrix algebra;multi-access systems;source coding;Slepian-Wolf boundary;asymmetric broadcast channel;distributed lossless source coding;entropy dispersion matrix;error probability;local dispersion;multidimensional Berry-Esséen theorem;multiple access channel;nonasymptotic rate region;scalar dispersion;three network information theory;vector rate redundancy theorem;weighted sum-rate dispersion;Channel coding;Entropy;Error probability;Source coding;Vectors;Dispersion;Slepian-Wolf;asymmetric broadcast channel;multiple-access channel;network information theory;second-order coding rates},
			Owner = {jmscarlett}
			}

			@Article{Tanaka2005,
			Title = {Approximate belief propagation, density evolution, and statistical neurodynamics for {CDMA} multiuser detection},
			Author = {Tanaka, T. and Okada, M.},
			Journal = {IEEE Trans. Inf. Theory},
			Year = {2005},

			Month = {Feb.},
			Number = {2},
			Pages = {700-706},
			Volume = {51},

			ISSN = {0018-9448},
			Owner = {jmscarlett}
			}

			@Article{Tanartkit1996,
			Title = {{A} nested, simultaneous approach for dynamic optimization problems -- {I}.},
			Author = {Tanartkit, P. and L.T. Biegler},
			Journal = {Comp. Chem. Eng.},
			Year = {1996},
			Pages = {735--741},
			Volume = {20},

			Keywords = {optimal control collocation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Tanartkit1995,
			Title = {{S}table decomposition for dynamic optimization},
			Author = {Tanartkit, P. and L.T. Biegler},
			Journal = {Ind. Eng. Chem. Res.},
			Year = {1995},
			Pages = {1253--1266},
			Volume = { 34},

			Keywords = {optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Tang2012,
			Title = {Compressed sensing off the grid},
			Author = {G. Tang and B. N. Bhaskar and P. A. Shah and B. Recht},
			Journal = {arXiv preprint arXiv:1207.6053},
			Year = {2012},
			Pages = {1--51},

			Owner = {quoctd},
			Timestamp = {2014.04.04}
			}

			@Article{Tanikawa1985,
			Title = {A new technique for nonconvex primal-dual decomposition of a large-scale separable optimization problem},
			Author = {A. Tanikawa and H. Mukai},
			Journal = {IEEE Trans. Aut. Control},
			Year = {1985},
			Number = {2},
			Pages = {133--143},
			Volume = {30},

			File = {:Papers/Tanikawa1985.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2011.11.21}
			}

			@Article{Tao2012,
			Title = {On the $O(1/t)$ Convergence Rate of Alternating Direction Method with Logarithmic-Quadratic Proximal Regularization},
			Author = {M. Tao and X. Yuan},
			Journal = {SIAM J. Opt.},
			Year = {2012},
			Number = {4},
			Pages = {1431--1448},
			Volume = {22},

			File = {:Papers/Tao2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.11.01}
			}

			@Article{Tao2005,
			Title = {An uncertainty principle for cyclic groups of prime order},
			Author = {Tao, Terence},
			Journal = {Math. Res. Lett.},
			Year = {2005},
			Pages = {121--127},
			Volume = {12},

			Owner = {yhli},
			Timestamp = {2014.07.21}
			}

			@Article{Tatjewski1989,
			Title = {{N}ew {D}ual-{T}ype {D}ecomposition {A}lgorithm for {N}onconvex {S}eparable {O}ptimization {P}roblems},
			Author = {Tatjewski, P.},
			Journal = {Automatica},
			Year = {1989},
			Number = {2},
			Pages = {233--242},
			Volume = {25},

			File = {:Papers/Tatjewski1989.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.06.07}
			}

			@Article{Tatjewski1990,
			Title = {{T}wo-{L}evel {P}rimal-{D}ual {D}ecomposition {T}echnique for {L}arge-{S}cale {N}onconvex {O}ptimization {P}roblems with
			{C}onstraints},
			Author = {Tatjewski, P. and Engelmann, B.},
			Journal = {J. Opt. Theory and Apps.},
			Year = {1990},
			Number = {1},
			Pages = {183--205},
			Volume = {64},

			File = {:Papers/Tatjewski1990.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.06.07}
			}

			@Article{Taylor2013,
			Title = {The geometry of least squares in the 21st century},
			Author = {Taylor, Jonathan},
			Journal = {Bernoulli},
			Year = {2013},
			Number = {4},
			Pages = {1449--1464},
			Volume = {19},

			Owner = {yhli},
			Timestamp = {2014.07.28}
			}

			@Article{Temlyakov2003,
			Title = {Nonlinear methods of approximation},
			Author = {Temlyakov, Vladimir N},
			Journal = {Found. Comp. Math.},
			Year = {2003},
			Number = {1},
			Pages = {33--107},
			Volume = {3},

			Owner = {jmscarlett},
			Publisher = {Springer},
			Timestamp = {2014.11.25}
			}

			@Article{Tenenbaum2000,
			Title = {A global geometric framework for nonlinear dimensionality reduction.},
			Author = {J. B. Tenenbaum and V. de Silva and J. C. Langford},
			Journal = {Science},
			Year = {2000},

			Month = {Dec},
			Number = {5500},
			Pages = {2319--2323},
			Volume = {290},

			Abstract = {Scientists working with large volumes of high-dimensional data, such as global climate patterns, stellar spectra, or human gene distributions, regularly confront the problem of dimensionality reduction: finding meaningful low-dimensional structures hidden in their high-dimensional observations. The human brain confronts the same problem in everyday perception, extracting from its high-dimensional sensory inputs-30,000 auditory nerve fibers or 10(6) optic nerve fibers-a manageably small number of perceptually relevant features. Here we describe an approach to solving dimensionality reduction problems that uses easily measured local metric information to learn the underlying global geometry of a data set. Unlike classical techniques such as principal component analysis (PCA) and multidimensional scaling (MDS), our approach is capable of discovering the nonlinear degrees of freedom that underlie complex natural observations, such as human handwriting or images of a face under different viewing conditions. In contrast to previous algorithms for nonlinear dimensionality reduction, ours efficiently computes a globally optimal solution, and, for an important class of data manifolds, is guaranteed to converge asymptotically to the true structure.},
			Doi = {10.1126/science.290.5500.2319},
			File = {Statistical Learning\\tenenbaum00NonlinearReduction.pdf:Statistical Learning\\tenenbaum00NonlinearReduction.pdf:PDF},
			Keywords = {Algorithms; Artificial Intelligence; Face; Humans; Mathematics; Pattern Recognition, Visual; Visual Perception},
			Owner = {BaldaZen},
			Pii = {290/5500/2319},
			Pmid = {11125149},
			Timestamp = {2007.01.29},
			Url = {http://dx.doi.org/10.1126/science.290.5500.2319}
			}

			@PhdThesis{Tenny2002,
			Title = {{C}omputational {S}trategies for {N}onlinear {M}odel {P}redictive {C}ontrol},
			Author = {M. Tenny},
			School = {University of Wisconsin-Madison},
			Year = {2002},
			Month = {June},

			Keywords = {optimal control NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Tenny2001,
			Title = {{F}easible real-time nonlinear model predictive control},
			Author = {Tenny, M.J. and Rawlings, J.B.},
			Booktitle = {Int. Conf. Chem. Proc. Control (CPC)},
			Year = {2001},
			Series = {{AIChE} Symposium Series},

			Editors = {Rawlings, J.B. and Ogunaike, A. and Eaton, J.W.},
			Keywords = {optimal control NMPC},
			Mlanguage = {E},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Tenny2004,
			Title = {{N}onlinear model predictive control via feasibility-perturbed sequential quadratic programming},
			Author = {M.J. Tenny and S.J. Wright and J.B. Rawlings},
			Journal = {Comp. Opt. Apps.},
			Year = {2004},

			Month = {April},
			Number = {1},
			Pages = {87--121},
			Volume = {28},

			File = {Tenny2004.pdf:Tenny2004.pdf:PDF},
			Keywords = {optimal control NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@TechReport{Tenny2002a,
			Title = {{N}onlinear {M}odel {P}redictive {C}ontrol via {F}easibility-{P}erturbed {S}equential {Q}uadratic {P}rogramming},
			Author = {Tenny, M.J. and Wright, S.J. and Rawlings, J.B.},
			Institution = {Texas-Wisconsin Modeling and Control Consortium},
			Year = {2002},
			Type = {Technical Report {TWMCC-2002-02} },

			File = {Tenny2002a.pdf:Tenny2002a.pdf:PDF},
			Keywords = {optimal control NMPC},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Terwen2004,
			Title = {{P}redictive powertrain control for heavy duty trucks},
			Author = {Terwen, S. and Back, M. and Krebs, V.},
			Booktitle = {Proc. IFAC Symp. Adv. Aut. Control},
			Year = {2004},

			Address = {Salerno, Italy},
			Pages = {451--457},

			File = {Terwen2004.pdf:Terwen2004.pdf:PDF},
			Keywords = {MIOC optimal control multiple shooting},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Terwiesch1994,
			Title = {{O}n-line corrections of pre-optimized input profiles for batch reactors},
			Author = {Terwiesch, P. and Agarwal, M.},
			Journal = {Comp. Chem. Eng.},
			Year = {1994},
			Pages = {433--437},
			Volume = {18},

			Keywords = {optimal control NMPC chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Terwiesch1994a,
			Title = {{B}atch unit optimization with imperfect modeling - {A} survey},
			Author = {Terwiesch, P. and Agarwal, M. and Rippin, D.W.T.},
			Journal = {J. Proc. Control},
			Year = {1994},
			Pages = {238--258},
			Volume = {4},

			Keywords = {optimal control chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Tewari2005,
			Title = {On the consistency of multiclass classification methods},
			Author = {Tewari, Ambuj and Bartlett, Peter L.},
			Booktitle = {Proc. Annual Conf. Learn. Theory},
			Year = {2005},
			Note = {Winner of the Student Paper Award},
			Pages = {143-157},
			Publisher = {Springer},
			Volume = {3559},

			File = {TewariBartlett05ConsistencyMulticlass.pdf:Statistical Learning/Multiclass/TewariBartlett05ConsistencyMulticlass.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.02.27}
			}

			@Article{Thevenet2006,
			Title = {Nonlinear spectral {SDP} method for {BMI}-constrained problems: applications to control design},
			Author = {J.B. Thevenet and D. Noll and P. Apkarian},
			Journal = {Informatics in Control, Automation and Robotics},
			Year = {2006},
			Pages = {61--72},
			Volume = {1},

			File = {:Papers/Thevenet2006.ps:PostScript},
			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Article{Thrampoulidis2014,
			Title = {Simple error bounds for regularized noisy linear inverse problems},
			Author = {Thrampoulidis, Christos and Oymak, Samet and Hassibi, Babak},
			Year = {2014},
			Note = {arXiv:1401.6578v1 [math.OC]},

			Owner = {yhli},
			Timestamp = {2014.07.28}
			}

			@Article{Tibshirani1996,
			Title = {Regression shrinkage and selection via the lasso},
			Author = {Tibshirani, Robert},
			Journal = {J. Royal Stat. Soc. Ser. B},
			Year = {1996},
			Number = {1},
			Pages = {267--288},
			Volume = {58},

			Owner = {yhli},
			Timestamp = {2014.02.14}
			}

			@Article{Tibshirani2004,
			Title = {Sample classification from protein mass spectrometry by 'peak probability contrasts'.},
			Author = {Robert Tibshirani and Trevor Hastie and Balasubramanian Narasimhan and Scott Soltys and Gongyi Shi and Albert Koong and Quynh-Thu Le},
			Journal = {Bioinformatics},
			Year = {2004},

			Month = {Nov},
			Number = {17},
			Pages = {3034--3044},
			Volume = {20},

			Abstract = {MOTIVATION: Early cancer detection has always been a major research focus in solid tumor oncology. Early tumor detection can theoretically result in lower stage tumors, more treatable diseases and ultimately higher cure rates with less treatment-related morbidities. Protein mass spectrometry is a potentially powerful tool for early cancer detection. We propose a novel method for sample classification from protein mass spectrometry data. When applied to spectra from both diseased and healthy patients, the 'peak probability contrast' technique provides a list of all common peaks among the spectra, their statistical significance and their relative importance in discriminating between the two groups. We illustrate the method on matrix-assisted laser desorption and ionization mass spectrometry data from a study of ovarian cancers. RESULTS: Compared to other statistical approaches for class prediction, the peak probability contrast method performs as well or better than several methods that require the full spectra, rather than just labelled peaks. It is also much more interpretable biologically. The peak probability contrast method is a potentially useful tool for sample classification from protein mass spectrometry data.},
			Doi = {10.1093/bioinformatics/bth357},
			File = {BIO\\Peak04Tibshirani.pdf:BIO\\Peak04Tibshirani.pdf:PDF},
			Keywords = {Algorithms; Artificial Intelligence; Cluster Analysis; Diagnosis, Computer-Assisted; Female; Humans; Models, Biological; Models, Statistical; Neoplasm Proteins; Ovarian Neoplasms; Reproducibility of Results; Sensitivity and Specificity; Spectrometry, Mass, Electrospray Ionization; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; Tumor Markers, Biological},
			Owner = {BaldaZen},
			Pii = {bth357},
			Pmid = {15226172},
			Timestamp = {2007.02.01},
			Url = {http://dx.doi.org/10.1093/bioinformatics/bth357}
			}

			@Article{Tibshirani2005,
			Title = {Sparsity and smoothness via the fused lasso},
			Author = {Tibshirani, R. and Saunders, M. and Rosset, S. and Zhu, J. and Knight, K.},
			Journal = {J. Royal Stat. Soc.: Series B (Statistical Methodology)},
			Year = {2005},
			Number = {1},
			Pages = {91--108},
			Volume = {67},

			Owner = {jmscarlett},
			Publisher = {Wiley Online Library},
			Timestamp = {2014.11.25}
			}

			@Article{Tibshirani2012,
			Title = {Degrees of freedom in lasso problems},
			Author = {Tibshirani, Ryan J. and Taylor, Jonathan},
			Journal = {Ann. Stats.},
			Year = {2012},
			Number = {2},
			Pages = {1198--1232},
			Volume = {40},

			Owner = {yhli},
			Timestamp = {2014.07.08}
			}

			@Article{Tibshirani2011,
			Title = {The solution path of the generalized lasso},
			Author = {Tibshirani, Ryan J. and Taylor, Jonathan},
			Journal = {Ann. Stats.},
			Year = {2011},
			Number = {3},
			Pages = {1335--1371},
			Volume = {39},

			Owner = {yhli},
			Timestamp = {2014.07.16}
			}

			@Book{Tikhonov1977,
			Title = {Solutions of Ill-posed Problems},
			Author = {Tikhonov, A. N. and Arsenin, V. Y.},
			Publisher = {John Wiley},
			Year = {1977},

			Owner = {baldazen},
			Timestamp = {2008.09.24}
			}

			@TechReport{Toh2010,
			Title = {On the implementation and usage of {SDPT}3 -- a {M}atlab software package for semidefinite-quadratic-linear programming, version 4.0},
			Author = {K.-Ch. Toh and M.J. Todd and R.H. T\''{u}t\"{u}nc\"{u}},
			Institution = {NUS Singapore},
			Year = {2010},
			Type = {Tech. Report},

			File = {:Papers/Toh2010.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.26}
			}

			@Article{Toh2010a,
			Title = {An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems},
			Author = {Toh, Kim-Chuan and Yun, Sangwoon},
			Journal = {Pac. J. Opt.},
			Year = {2010},
			Number = {615-640},
			Pages = {15},
			Volume = {6},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@PhdThesis{Toumi2004,
			Title = {{O}ptimaler {B}etrieb und {R}egelung von {S}imulated {M}oving {B}ed {P}rozessen},
			Author = {A. Toumi},
			School = {Fachbereich Bio und Chemieingenieurwesen, Universit\"at Dortmund},
			Year = {2004},

			File = {Toumi2004.pdf:Toumi2004.pdf:PDF},
			Keywords = {optimal control PDE chemistry multiple shooting},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@InProceedings{Toumi2005,
			Title = {{F}inite {H}orizon {O}ptimizing {C}ontrol of {A}dvanced {SMB} {C}hromatographic {P}rocesses},
			Author = {A. Toumi and M. Diehl and S.~Engell and H.G. Bock and J.P. Schl\"oder},
			Booktitle = {{IFAC World Congress}},
			Year = {2005},

			Address = {Prague},
			Note = {(CD ROM)},

			Doi = {10.3182/20050703-6-CZ-1902.01675},
			File = {Toumi2005.pdf:Toumi2005.pdf:PDF},
			Keywords = {optimal control},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.ifac-papersonline.net/Detailed/28956.html}
			}

			@Article{Toumi2004a,
			Title = {{O}ptimierungsbasierte {R}egelung {E}ines {I}ntegrierten {R}eaktiven {C}hromatographischen {T}rennprozesses},
			Author = {A. Toumi and S. Engell},
			Journal = {Automatisierungstechnik},
			Year = {2004},
			Pages = {13--22},
			Volume = {52},

			Keywords = {chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Toumi2007,
			Title = {{E}fficient {O}ptimization of {S}imulated {M}oving {B}ed {P}rocesses},
			Author = {A. Toumi and S. Engell and M. Diehl and H.G. Bock and J.P. Schl\"oder},
			Journal = {Chem. Eng. Proc.},
			Year = {2007},
			Note = {(submitted as invited article)},
			Pages = {1067-1084},
			Volume = {46},

			Doi = {10.1016/j.cep.2006.06.026},
			File = {Toumi2007.pdf:Toumi2007.pdf:PDF},
			Keywords = {agbock optimal control PDE chemistry multiple shooting},
			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://www.sciencedirect.com/science/article/pii/S0255270107001146}
			}

			@Article{Toumi2002,
			Title = {{A}synchron {G}etaktete {G}egenstromchromatographie - {P}rinzip und {O}ptimaler {B}etrieb},
			Author = {A. Toumi and S. Engell and F. Hanisch},
			Journal = {Chemie {I}ngenieur {T}echnik},
			Year = {2002},
			Pages = {1483--1490},
			Volume = {74},

			Keywords = {chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Toumi2003,
			Title = {{O}ptimization of {S}imulated {M}oving {B}ed and {VARICOL} {P}rocesses},
			Author = {A. Toumi and S. Engell and O. Ludemann-Hombourger and R.-M. Nicoud and M. Bailly},
			Journal = {J. Chromat. A},
			Year = {2003},
			Pages = {15--31},
			Volume = {1006},

			Keywords = {optimal control PDE chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Article{Toumi2002a,
			Title = {{O}ptimal {O}peration of {C}ontinuous {C}hromatographic {P}rocesses: {M}athematical {O}ptimization of the {VARICOL} {P}rocess},
			Author = {A. Toumi and F. Hanisch and S. Engell},
			Journal = {Ind. Eng. Chem. Res.},
			Year = {2002},
			Pages = {4328--4337},
			Volume = {41},

			Keywords = {optimal control PDE chemistry},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@PhdThesis{Tran-Dinh2012e,
			Title = {{S}equential {C}onvex {P}rogramming and {D}ecomposition {A}pproaches for {N}onlinear {O}ptimization},
			Author = {Q. Tran-Dinh},
			School = {Arenberg Doctoral School, KU Leuven},
			Year = {2012},

			Address = {Department of Electrical Engineering (ESAT/SCD) and Optimization in Engineering Center,
			Kasteelpark Arenberg 10, 3001-Heverlee, Belgium},
			Month = {November},
			Type = {PhD thesis},

			File = {:Papers/TranDinh2012g.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.10.25}
			}

			@Conference{Tran-Dinh2014,
			Title = {Constrained convex minimization via model-based excessive gap},
			Author = {Tran-Dinh, Quoc and Cevher, Volkan},
			Booktitle = {Adv. Neur. Inf. Proc. Sys. (NIPS)},
			Year = {2014},

			Date-added = {2014-11-06 17:48:05 +0000},
			Date-modified = {2014-11-06 17:49:18 +0000},
			Owner = {jmscarlett},
			Read = {1},
			Timestamp = {2014.11.25}
			}

			@Unpublished{Tran-Dinh2014a,
			Title = {A Primal-Dual Algorithmic Framework for Constrained Convex Minimization},
			Author = {Quoc Tran-Dinh and Volkan Cevher},
			Note = {http://arxiv.org/abs/1406.5403},

			Month = {June},
			Year = {2014},

			Owner = {Jono},
			Timestamp = {2014.08.17}
			}

			@Article{Tran-Dinh2014d,
			Title = {A Unified Optimal Primal-Dual Framework For Constrained Convex Minimization},
			Author = {Q. Tran-Dinh and V. Cevher},
			Journal = {Tech. Report., LIONS},
			Year = {2014},
			Pages = {1--32},

			Owner = {quoctd},
			Timestamp = {2014.04.08}
			}

			@Article{Tran-Dinh2014f,
			Title = {A Primal-Dual Algorithmic Framework For Constrained Convex Minimization},
			Author = {Q. Tran-Dinh and V. Cevher},
			Journal = {Tech. Report., LIONS},
			Year = {2014},
			Pages = {1--54},

			Owner = {quoctd},
			Timestamp = {2014.04.08}
			}

			@Article{Tran-Dinh2014g,
			Title = {Composite convex minimization involving generalized self-concordant cost},
			Author = {Q. Tran-Dinh and V. Cevher},
			Journal = {Tech. Report. (LIONS, EPFL)},
			Year = {2014},
			Pages = {1--18},

			Owner = {quoctd},
			Timestamp = {2014.09.29}
			}

			@Article{Tran-Dinh2014h,
			Title = {Barrier smoothing methods for composite nonsmooth convex minimization: {P}art {A} - {F}irst order methods},
			Author = {Q. Tran-Dinh and V. Cevher},
			Journal = {Tech. Report.},
			Year = {2014},
			Pages = {1--30},

			Owner = {quoctd},
			Timestamp = {2014.09.29}
			}

			@Article{Tran-Dinh2014i,
			Title = {Barrier smoothing methods for composite nonsmooth convex minimization: {P}art {B} - {S}econd order methods},
			Author = {Q. Tran-Dinh and V. Cevher},
			Journal = {Tech. Report. (LIONS, EPFL)},
			Year = {2014},
			Pages = {1--32},

			Owner = {quoctd},
			Timestamp = {2014.09.29}
			}

			@TechReport{Tran-Dinh2014j,
			Title = {An Optimal Primal-Dual Decomposition Framework},
			Author = {Q. Tran-Dinh and V. Cevher},
			Institution = {LIONS - EPFL},
			Year = {2014},

			Owner = {baldassarre},
			Timestamp = {2014.04.03}
			}

			@Conference{Tran-Dinh2010,
			Title = {{L}ocal {C}onvergence of {S}equential {C}onvex {P}rogramming for {N}onconvex {O}ptimization},
			Author = {Q. Tran-Dinh and M. Diehl},
			Booktitle = {Recent advances in optimization and its application in engineering},
			Year = {2010},
			Editor = {Diehl, M., Glineur, F.; Jarlebring, E., and Michiels, W.},
			Pages = {93--103},
			Publisher = {Springer-Verlag},

			File = {TranDinh2009a.pdf:TranDinh2009a.pdf:PDF},
			Keywords = {Sequential convex programming, local convergence, nonlinear programming},
			Owner = {qtrandin},
			Timestamp = {2010.04.29}
			}

			@TechReport{Tran-Dinh2011,
			Title = {Proximal methods for minimizing the sum of a convex function and a composite function},
			Author = {Tran-Dinh, Q. and Diehl, M.},
			Institution = {KU Leuven, OPTEC and ESAT/SCD},
			Year = {2011},

			Address = {Belgium},
			Month = {May},
			Type = {Tech. Report},

			Owner = {quoctd},
			Timestamp = {2012.07.05}
			}

			@Conference{Tran-Dinh2009,
			Title = {{A}n application of sequential convex programming to time optimal trajectory planning for a car motion},
			Author = {Q. Tran-Dinh and M. Diehl},
			Booktitle = {Proc. Conf. Decision and Control},
			Year = {2009},

			Address = {Shanghai, China},
			Pages = {4366--4371},

			Doi = {10.1109/CDC.2009.5399823},
			File = {TranDinh2009.pdf:TranDinh2009.pdf:PDF},
			Keywords = {Sequential convex programming, time optimal control},
			Owner = {qtrandin},
			Timestamp = {2010.04.29},
			Url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5399823}
			}

			@TechReport{Tran-Dinh2009b,
			Title = {{S}equential {C}onvex {P}rogramming {M}ethods for {S}olving {N}onlinear {O}ptimization {P}roblems with {DC} constraints},
			Author = {Q. Tran-Dinh and M. Diehl},
			Institution = {ESAT/SCD and OPTEC, KU Leuven},
			Year = {2009},

			Address = {Belgium},
			Type = {Tech. Report},

			Owner = {quoctd},
			Timestamp = {2012.10.12},
			Url = {http://arxiv.org/abs/1107.5841}
			}

			@Article{Tran-Dinh2008,
			Title = {Extragradient algorithms extended to equilibrium problems},
			Author = {Q. Tran-Dinh and M. Le Dung and V.H. Nguyen},
			Journal = {Optimization},
			Year = {2008},
			Number = {6},
			Pages = {749--776},
			Volume = {57},

			Owner = {quoctd},
			Timestamp = {2013.11.13}
			}

			@Article{Tran-Dinh2012,
			Title = {Combining convex-concave decompositions and linearization approaches for solving {BMIs}, with application to static output feedback},
			Author = {Q. Tran-Dinh and S. Gumussoy and W. Michiels and M. Diehl},
			Journal = {IEEE Trans. Aut. Control},
			Year = {2012},
			Number = {6},
			Pages = {1377--1390},
			Volume = {57},

			File = {:Papers/TranDinh2012.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2011.11.20},
			Url = {http://arxiv.org/abs/1109.3320v1}
			}

			@Article{Tran-Dinh2014c,
			Title = {An inexact proximal path-following algorithm for constrained convex minimization},
			Author = {Q. Tran-Dinh and A. Kyrillidis and V. Cevher},
			Journal = {SIAM J. Opt.},
			Year = {2014},
			Number = {4},
			Pages = {1718--1745},
			Volume = {24},

			Owner = {quoctd},
			Timestamp = {2013.11.14}
			}

			@InProceedings{Tran-Dinh2013,
			Title = {A proximal $\{$N$\}$ ewton framework for composite minimization: Graph learning without $\{$C$\}$ holesky decompositions and matrix inversions},
			Author = {Tran-Dinh, Q. and Kyrillidis, A. and Cevher, V.},
			Booktitle = {Proc. Int. Conf. Mach. Learn. (ICML)},
			Year = {2013},
			Pages = {271--279},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Tran-Dinh2013e,
			Title = {No heavy lifting required: {A} proximal path following scheme for conic programming},
			Author = {Q. Tran-Dinh and A. Kyrillidis and V. Cevher},
			Journal = {Tech. Report. (LIONS, EPFL)},
			Year = {2013},
			Pages = {1--18},

			Owner = {quoctd},
			Timestamp = {2013.07.17}
			}

			@Article{Tran-Dinh2013f,
			Title = {A proximal Newton framework for composite minimization: {G}raph learning without {C}holesky decompositions and matrix inversions},
			Author = {Q. Tran-Dinh and A. Kyrillidis and V. Cevher},
			Journal = {JMLR W\&CP},
			Year = {2013},
			Number = {2},
			Pages = {271--279},
			Volume = {28},

			Address = {CH-1015 Lausanne, Switzerland},
			Institution = {Lab. for Information and Inference Systems (LIONS), EPFL, Switzerland},
			Owner = {quoctd},
			Timestamp = {2013.01.30}
			}


			@Article{Tran-Dinh2013g,
			Title = {Composite self-concordant minimization},
			Author = {Tran-Dinh, Q. and Kyrillidis, A. and Cevher, V.},
			Journal = {arXiv preprint arXiv:1308.2867},
			Year = {2013},

			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Tran-Dinh2011b,
			Title = {A splitting proximal point method for Nash-Cournot equilibrium models involving nonconvex cost functions},
			Author = {Q. Tran-Dinh and M. Le-Dung},
			Journal = {J. Nonlinear and Convex Analysis},
			Year = {2011},
			Number = {3},
			Pages = {519--533},
			Volume = {12},

			Owner = {quoctd},
			Timestamp = {2013.11.13}
			}

			@Article{Tran-Dinh2010a,
			Title = {Iterative methods for solving monotone equilibrium problems via dual gap functions},
			Author = {Q. Tran-Dinh and M. Le-Dung},
			Journal = {Comp. Opt. Apps.},
			Year = {2010},
			Number = {2},
			Pages = {709--728},
			Volume = {51},

			Owner = {quoctd},
			Timestamp = {2013.11.13}
			}

			@InProceedings{Tran-Dinh2014e,
			Title = {Barrier smoothing for nonsmooth convex minimization},
			Author = {Tran-Dinh, Quoc and Li, Yen-Huan and Cevher, Volkan},
			Booktitle = {IEEE Int. Conf. Acoustics, Speech, and Sig. Proc. (ICASSP)},
			Year = {2014},
			Pages = {1503--1507},

			Owner = {yhli},
			Timestamp = {2014.08.08}
			}

			@Article{Tran-Dinh2013c,
			Title = {Minimization of self-concordant like functions},
			Author = {Tran-Dinh, Quoc and Li, Yen-Huan and Cevher, Volkan},
			Year = {2013},

			Owner = {yhli},
			Timestamp = {2014.08.25}
			}

			@Article{Tran-Dinh2014b,
			Title = {{P}ath-{F}ollowing {G}radient-{B}ased {D}ecomposition {A}lgorithms {F}or {S}eparable {C}onvex {O}ptimization},
			Author = {Q. Tran-Dinh and I. Necoara and M. Diehl},
			Journal = {J. Global Opt.},
			Year = {2014},
			Number = {1},
			Pages = {59--80},
			Volume = {59},

			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Conference{Tran-Dinh2013d,
			Title = {A dual decomposition algorithm for separable nonconvex optimization using the penalty function framework},
			Author = {Q. Tran-Dinh and I. Necoara and M. Diehl},
			Booktitle = {Proc. Conf. Decision and Control},
			Year = {2013},

			Address = {Florence, Italy},
			Month = {December},
			Pages = {2372--2377},

			Owner = {quoctd},
			Timestamp = {2013.11.13}
			}

			@Article{Tran-Dinh2012c,
			Title = {{F}ast {I}nexact {D}ecomposition {A}lgorithms for {L}arge-{S}cale {S}eparable {C}onvex {O}ptimization},
			Author = {Q. Tran-Dinh and I. Necoara and M. Diehl},
			Journal = {Submitted to J. Opt. Theory and Apps. J},
			Year = {2012},
			Pages = {1--29},

			File = {:Papers/TranDinh2012h.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.06.06}
			}

			@Article{Tran-Dinh2013b,
			Title = {{A}n {I}nexact {P}erturbed {P}ath-{F}ollowing {M}ethod for {L}agrangian {D}ecomposition in {L}arge-{S}cale {S}eparable {C}onvex {O}ptimization},
			Author = {Q. Tran-Dinh and I. Necoara and C. Savorgnan and M. Diehl},
			Journal = {SIAM J. Opt.},
			Year = {2013},
			Number = {1},
			Pages = {95--125},
			Volume = {23},

			File = {:Papers/TranDinh2012c.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@Article{Tran-Dinh2012b,
			Title = {Dual extragradient algorithms extended to equilibrium problems},
			Author = {Q. Tran-Dinh and A. Pham Ngoc and M. Le Dung},
			Journal = {J. Global Opt.},
			Year = {2012},
			Number = {1},
			Pages = {139--159},
			Volume = {52},

			Owner = {quoctd},
			Timestamp = {2013.11.13}
			}

			@InProceedings{Tran-Dinh2009a,
			Title = {Real-Time Sequential Convex Programming for Optimal Control Applications},
			Author = {Q. Tran-Dinh and C. Savorgnan and M. Diehl},
			Booktitle = {Modeling, Sim. and Opt. of Complex Processes},
			Year = {2009},
			Editor = {Bock, H., Phu, H.X., Rannacher, R. and Schl\"{o}der, J.P.},
			Pages = {91--101},
			Publisher = {Springer-Verlag},

			File = {TranDinh2009b.pdf:TranDinh2009b.pdf:PDF},
			Owner = {qtrandin},
			Timestamp = {2011.09.12},
			Url = {http://arxiv.org/abs/1105.3427}
			}

			@Article{Tran-Dinh2013a,
			Title = {{C}ombining {L}agrangian {D}ecomposition and {E}xcessive {G}ap {S}moothing {T}echnique for {S}olving {L}arge-{S}cale {S}eparable {C}onvex {O}ptimization {P}roblems},
			Author = {Q. Tran-Dinh and C. Savorgnan and M. Diehl},
			Journal = {Comp. Opt. Apps.},
			Year = {2013},
			Number = {1},
			Pages = {75--111},
			Volume = {55},

			Doi = {10.1007/s10589-012-9515-6},
			File = {:Papers/TranDinh2012a.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2011.11.20}
			}

			@Article{Tran-Dinh2012a,
			Title = {{A}djoint-based {P}redictor-{C}orrector {S}equential {C}onvex {P}rogramming for {P}arametric {N}onlinear {O}ptimization},
			Author = {Q. Tran-Dinh and C. Savorgnan and M. Diehl},
			Journal = {SIAM J. Opt.},
			Year = {2012},
			Number = {4},
			Pages = {1258--1284},
			Volume = {22},

			File = {:Papers/TranDinh2012b.pdf:PDF},
			Owner = {qtrandin},
			Timestamp = {2011.09.12}
			}

			@Conference{Tran-Dinh2011a,
			Title = {Real-Time Sequential Convex Programming for Nonlinear Model Predictive Control and Application to a Hydro-Power Plant},
			Author = {Q. Tran-Dinh and C. Savorgnan and M. Diehl},
			Booktitle = {Proc. of the 50th IEEE Conference on Decision and Control (CDC) and the European Control Conference (ECC)},
			Year = {2011},
			Month = {December},
			Pages = {5905--5910},

			File = {TranDinh2011a.pdf:TranDinh2011a.pdf:PDF},
			Owner = {qtrandin},
			Timestamp = {2011.09.12}
			}

			@InProceedings{Tran-Dinh2012d,
			Title = {An inner convex approximation algorithm for {BMI} optimization and applications in control},
			Author = {Q. Tran-Dinh and W. Michiels, S. Gros and M. Diehl},
			Booktitle = {Proc. of The 52th IEEE Conference on Decision and Control},
			Year = {2012},
			Pages = {3576--3581},

			File = {:Papers/TranDinh2012f.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.04.09}
			}

			@TechReport{Tropp,
			Title = {RANDOM SUBDICTIONARIES OF GENERAL DICTIONARIES},
			Author = {Tropp},

			File = {Tro06-Random-Subdictionaries-1.pdf:Statistical Learning/Tro06-Random-Subdictionaries-1.pdf:PDF},
			Owner = {luca},
			Timestamp = {2007.01.26}
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			Year = {2006},
			Number = {3},
			Pages = {1030--1051},
			Volume = {52},

			File = {:Papers/Tropp2006.pdf:PDF},
			Owner = {quoctd},
			Timestamp = {2012.06.04}
			}

			@Unpublished{Tropp2014,
			Title = {Convex recovery of a structured signal from independent random linear measurements},
			Author = {Joel A. Tropp},
			Note = {http://arxiv.org/abs/1405.1102},

			Month = {May},
			Year = {2014},

			Owner = {jms265},
			Timestamp = {2014.08.22}
			}

			@Article{Tropp2014a,
			Title = {Convex recovery of a structured signal from independent random linear measurements},
			Author = {Tropp, Joel A.},
			Year = {2014},
			Note = {arXiv:1405.1102v1 [cs.IT]},

			Owner = {yhli},
			Timestamp = {2014.07.23}
			}

			@Article{Tropp2012,
			Title = {User-Friendly Tail Bounds for Sums of Random Matrices},
			Author = {Tropp, Joel A.},
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			Year = {2012},
			Number = {4},
			Pages = {389-434},
			Volume = {12},

			ISSN = {1615-3375},
			Language = {English},
			Owner = {jmscarlett},
			Publisher = {Springer-Verlag}
			}

			@InProceedings{Tropp2009,
			Title = {Column subset selection, matrix factorization, and eigenvalue optimization},
			Author = {Tropp, Joel A.},
			Booktitle = {Proc. ACM-SIAM Symp. Discrete Algorithms},
			Year = {2009},

			Owner = {yhli},
			Timestamp = {2014.04.01}
			}

			@Article{Tropp2008,
			Title = {Norms of random submatrices and sparse approximation},
			Author = {Tropp, Joel A.},
			Journal = {C. R. Acad. Sci. Paris, Ser. I},
			Year = {2008},
			Pages = {1271--1274},
			Volume = {346},

			Owner = {yhli},
			Timestamp = {2014.05.12}
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			Author = {Tropp, Joel A.},
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			Pages = {67--82},
			Volume = {185},

			Owner = {yhli},
			Timestamp = {2014.06.10}
			}

			@Article{Tropp2008b,
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			Author = {Tropp, Joel A.},
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			Year = {2008},
			Pages = {838--858},
			Volume = {14},

			Owner = {yhli},
			Timestamp = {2014.07.21}
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			Year = {2005},

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			Volume = {51},

			Owner = {yhli},
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			Month = jun,
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			Volume = {98},

			Owner = {yhli},
			Timestamp = {2014.04.15}
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			Month = dec,
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			Abstract = {We propose a scheme to reverse-engineer gene networks on a genome-wide scale using a relatively small amount of gene expression data from microarray experiments. Our method is based on the empirical observation that such networks are typically large and sparse. It uses singular value decomposition to construct a family of candidate solutions and then uses robust regression to identify the solution with the smallest number of connections as the most likely solution. Our algorithm has O(log N) sampling complexity and O(N(4)) computational complexity. We test and validate our approach in a series of in numero experiments on model gene networks.},
			Address = {Center for BioDynamics and Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA.},
			Citeulike-article-id = {339762},
			Doi = {10.1073/pnas.092576199},
			File = {:/Users/baldassarre/Documents/Scienza/BIO/Gene Expression/yeung02genetworksvd.pdf:PDF},
			ISSN = {0027-8424},
			Keywords = {bioinfomatics, gene, graph, multi-output, networks},
			Owner = {baldassarre},
			Posted-at = {2009-04-29 12:44:04},
			Priority = {2},
			Timestamp = {2009.04.29},
			Url = {http://dx.doi.org/10.1073/pnas.092576199}
			}

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			Journal = {Annals of statistics},
			Year = {2009},
			Number = {4},
			Pages = {1733},
			Volume = {37},

			File = {zou2009adaptive.pdf:Statistical Learning\\SPARSITY\\zou2009adaptive.pdf:PDF},
			Owner = {BaldaZen},
			Publisher = {NIH Public Access},
			Timestamp = {2012.02.02}
			}

			@Article{Zou2008,
			Title = {The margin vector, admissible loss and multi-class marginbased classifiers},
			Author = {Zou, H. and Zhu, J. and Hastie, T.},
			Journal = {Annals of Applied Statistics},
			Year = {2008},
			Pages = {1290--1306},
			Volume = {2},

			File = {zou2008margin.pdf:Statistical Learning/Multiclass/zou2008margin.pdf:PDF},
			Owner = {jmscarlett},
			Publisher = {Citeseer},
			Timestamp = {2014.11.25}
			}

			@Article{Zouzias2012,
			Title = {Randomized extended Kaczmarz for solving least-squares},
			Author = {Zouzias, Anastasios and Freris, Nikolaos M},
			Journal = {arXiv preprint arXiv:1205.5770},
			Year = {2012},

			File = {zouzias2012randomized.pdf:Optimization/zouzias2012randomized.pdf:PDF},
			Owner = {jmscarlett},
			Timestamp = {2014.11.25}
			}

			@Article{Zucknick2008,
			Title = {Comparing the characteristics of gene expression profiles derived by univariate and multivariate classification methods},
			Author = {Zucknick, M. and Richardson, S. and Stronach, E.A.},
			Journal = {Statistical applications in genetics and molecular biology},
			Year = {2008},
			Number = {1},
			Pages = {7},
			Volume = {7},

			Owner = {jmscarlett},
			Publisher = {bepress},
			Timestamp = {2014.11.25}
			}

			@Book{Findeisen2006,
			Title = {{A}ssessment and {F}uture {D}irections of {N}onlinear {M}odel {P}redictive {C}ontrol},
			Editor = {R. Findeisen and F. Allg\"ower and L. Biegler},
			Publisher = {Springer},
			Year = {2006},
			Series = {Lecture Notes in Control and Information Sciences},

			Keywords = {OPTEC-library},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Misc{ATLAS_Home,
			Title = {{ATLAS} {H}omepage},
			Note = {http://math-atlas.sourceforge.net/},

			Keywords = {computation},
			Owner = {quoctd},
			Timestamp = {2013.08.23}
			}

			@Misc{PROPT_Home,
			Title = {{PROPT} {H}omepage},
			HowPublished = {\url{http://tomdyn.com}},

			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://tomdyn.com}
			}

			@Misc{CasADi_HOME,
			Title = {{CasADi} {H}omepage},
			HowPublished = {\url{http://casadi.org}},
			Year = {2013},

			Owner = {quoctd},
			Timestamp = {2013.08.23},
			Url = {http://casadi.org/}
			}

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			@comment{jabref-meta: selector_author:}

			@comment{jabref-meta: selector_journal:}

			@comment{jabref-meta: selector_keywords:}

R7172/tex/lions.bib3a4f660f185fmaster

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