\BOOKMARK [1][-]{section.1}{Introduction}{}% 1
\BOOKMARK [1][-]{section.2}{Preliminaries }{}% 2
\BOOKMARK [1][-]{section.3}{Algorithm }{}% 3
\BOOKMARK [1][-]{section.4}{Convergence Rate }{}% 4
\BOOKMARK [2][-]{subsection.4.1}{First-Order Optimality }{section.4}% 5
\BOOKMARK [2][-]{subsection.4.2}{Second-Order Optimality }{section.4}% 6
\BOOKMARK [1][-]{section.5}{Related works }{}% 7
\BOOKMARK [1][-]{section.6}{Numerical evidence }{}% 8
\BOOKMARK [2][-]{subsection.6.1}{k-Means Clustering}{section.6}% 9
\BOOKMARK [2][-]{subsection.6.2}{Basis Pursuit}{section.6}% 10
\BOOKMARK [2][-]{subsection.6.3}{Adversarial Denoising with GANs}{section.6}% 11
\BOOKMARK [1][-]{appendix.A}{Proof of Theorem 4.1 }{}% 12
\BOOKMARK [1][-]{appendix.B}{Proof of Corollary 4.2}{}% 13
\BOOKMARK [1][-]{appendix.C}{Proof of Lemma 2.1}{}% 14
\BOOKMARK [1][-]{appendix.D}{Basis Pursuit }{}% 15
\BOOKMARK [1][-]{appendix.E}{Clustering }{}% 16
\BOOKMARK [2][-]{subsection.E.1}{ Denoising with a Generative Prior}{appendix.E}% 17
\BOOKMARK [2][-]{subsection.E.2}{Generalized Eigenvalue Problem}{appendix.E}% 18