Extending the Reach of First-Order Algorithms for Nonconvex Min-Max Problems with Cohypomonotonicity

7 February 2024

Papers citing "Extending the Reach of First-Order Algorithms for Nonconvex Min-Max Problems with Cohypomonotonicity"

10 / 10 papers shown

Title
Stochastic Halpern iteration in normed spaces and applications to reinforcement learning Mario Bravo Juan Pablo Contreras 76 3 0 19 Mar 2024
An Inexact Halpern Iteration with Application to Distributionally Robust Optimization Ling Liang Zusen Xu Kim-Chuan Toh Jia Jie Zhu 100 4 0 08 Feb 2024
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions S. Choudhury Eduard A. Gorbunov Nicolas Loizou 68 13 0 27 Feb 2023
Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems Quoc Tran-Dinh Yang Luo 152 8 0 08 Jan 2023
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization Le‐Yu Chen Luo Luo 66 8 0 11 Aug 2022
Independent Policy Gradient Methods for Competitive Reinforcement Learning C. Daskalakis Dylan J. Foster Noah Golowich 198 161 0 11 Jan 2021
Large-Scale Methods for Distributionally Robust Optimization Daniel Levy Y. Carmon John C. Duchi Aaron Sidford 73 216 0 12 Oct 2020
The limits of min-max optimization algorithms: convergence to spurious non-critical sets Ya-Ping Hsieh P. Mertikopoulos Volkan Cevher 62 83 0 16 Jun 2020
On the convergence of single-call stochastic extra-gradient methods Yu-Guan Hsieh F. Iutzeler J. Malick P. Mertikopoulos 50 169 0 22 Aug 2019
How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD Zeyuan Allen-Zhu ODL 68 170 0 08 Jan 2018