Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms

24 December 2020

Papers citing "Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms"

13 / 13 papers shown

Title
Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence L. Hien Nicolas Gillis 55 59 0 05 Oct 2020
Bregman Proximal Framework for Deep Linear Neural Networks Mahesh Chandra Mukkamala Felix Westerkamp Emanuel Laude Daniel Cremers Peter Ochs 66 7 0 08 Oct 2019
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms Mahesh Chandra Mukkamala Peter Ochs 65 22 0 22 May 2019
Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems Qiuwei Li Zhihui Zhu Gongguo Tang M. Wakin 19 26 0 22 Apr 2019
Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization Mahesh Chandra Mukkamala Peter Ochs Thomas Pock Shoham Sabach 30 52 0 06 Apr 2019
The importance of better models in stochastic optimization Hilal Asi John C. Duchi 38 73 0 20 Mar 2019
Model Function Based Conditional Gradient Method with Armijo-like Line Search Yura Malitsky Peter Ochs 39 4 0 23 Jan 2019
Stochastic model-based minimization under high-order growth Damek Davis Dmitriy Drusvyatskiy Kellie J. MacPhee 126 31 0 01 Jul 2018
Composite Optimization by Nonconvex Majorization-Minimization Jonas Geiping Michael Möller 41 17 0 20 Feb 2018
Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow G. Wang G. Giannakis Yonina C. Eldar 49 362 0 26 May 2016
Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods Guoyin Li Ting Kei Pong 130 293 0 09 Feb 2016
Phase Retrieval via Wirtinger Flow: Theory and Algorithms Emmanuel Candes Xiaodong Li Mahdi Soltanolkotabi 159 1,283 0 03 Jul 2014
iPiano: Inertial Proximal Algorithm for Non-Convex Optimization Peter Ochs Yunjin Chen Thomas Brox Thomas Pock 63 431 0 18 Apr 2014