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Proximal alternating linearized minimization for nonconvex and nonsmooth problems., , and . Math. Program., 146 (1-2): 459-494 (2014)First Order Methods beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems., , , and . CoRR, (2017)Generic Optimality Conditions for Semialgebraic Convex Programs., , and . Math. Oper. Res., 36 (1): 55-70 (2011)Tame functions are semismooth., , and . Math. Program., 117 (1-2): 5-19 (2009)Barrier Operators and Associated Gradient-Like Dynamical Systems for Constrained Minimization Problems., and . SIAM J. Control and Optimization, 42 (4): 1266-1292 (2003)Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Lojasiewicz Inequality., , , and . Math. Oper. Res., 35 (2): 438-457 (2010)Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward-backward splitting, and regularized Gauss-Seidel methods., , and . Math. Program., 137 (1-2): 91-129 (2013)On Linear Convergence of Non-Euclidean Gradient Methods without Strong Convexity and Lipschitz Gradient Continuity., , , , and . J. Optimization Theory and Applications, 182 (3): 1068-1087 (2019)Alternating proximal algorithm for blind image recovery., , and . ICIP, page 1673-1676. IEEE, (2010)An Inertial Newton Algorithm for Deep Learning., , , and . CoRR, (2019)