A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization

8 July 2019

Papers citing "A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization"

8 / 8 papers shown

Title
Gradient-Free Method for Heavily Constrained Nonconvex Optimization Wanli Shi Hongchang Gao Bin Gu 21 5 0 31 Aug 2024
Non-Convex Stochastic Composite Optimization with Polyak Momentum Yuan Gao Anton Rodomanov Sebastian U. Stich 37 6 0 05 Mar 2024
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates Ahmad Rammal Kaja Gruntkowska Nikita Fedin Eduard A. Gorbunov Peter Richtárik 45 5 0 15 Oct 2023
On Momentum-Based Gradient Methods for Bilevel Optimization with Nonconvex Lower-Level Feihu Huang 32 18 0 07 Mar 2023
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization Feihu Huang Chunyu Xuan Xinrui Wang Siqi Zhang Songcan Chen 28 7 0 07 Mar 2023
Stochastic Inexact Augmented Lagrangian Method for Nonconvex Expectation Constrained Optimization Zichong Li Pinzhuo Chen Sijia Liu Songtao Lu Yangyang Xu 29 17 0 19 Dec 2022
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,201 0 16 Aug 2016
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning Julien Mairal 79 317 0 18 Feb 2014