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Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for
  Solving Nonconvex Min-Max Problems

Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems

Conference on Learning for Dynamics & Control (L4DC), 2021
17 December 2021
Thinh T. Doan
ArXiv (abs)PDFHTML

Papers citing "Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems"

11 / 11 papers shown
Title
A Scenario Approach to the Robustness of Nonconvex-Nonconcave Minimax Problems
A Scenario Approach to the Robustness of Nonconvex-Nonconcave Minimax Problems
Huan Peng
Guanpu Chen
Karl H. Johansson
201
0
0
19 Nov 2025
Convergence of Time-Averaged Mean Field Gradient Descent Dynamics for Continuous Multi-Player Zero-Sum Games
Convergence of Time-Averaged Mean Field Gradient Descent Dynamics for Continuous Multi-Player Zero-Sum Games
Yulong Lu
Pierre Monmarché
MLT
189
3
0
12 May 2025
Zeroth-Order primal-dual Alternating Projection Gradient Algorithms for Nonconvex Minimax Problems with Coupled linear Constraints
Zeroth-Order primal-dual Alternating Projection Gradient Algorithms for Nonconvex Minimax Problems with Coupled linear Constraints
Hui-Li Zhang
Zi Xu
Yuhong Dai
265
0
0
26 Jan 2024
Fast Nonlinear Two-Time-Scale Stochastic Approximation: Achieving
  $O(1/k)$ Finite-Sample Complexity
Fast Nonlinear Two-Time-Scale Stochastic Approximation: Achieving O(1/k)O(1/k)O(1/k) Finite-Sample Complexity
Thinh T. Doan
291
11
0
23 Jan 2024
An accelerated first-order regularized momentum descent ascent algorithm
  for stochastic nonconvex-concave minimax problems
An accelerated first-order regularized momentum descent ascent algorithm for stochastic nonconvex-concave minimax problemsComputational optimization and applications (Comput. Optim. Appl.), 2023
Hui-Li Zhang
Zi Xu
ODL
201
1
0
24 Oct 2023
Faster Stochastic Algorithms for Minimax Optimization under
  Polyak--Łojasiewicz Conditions
Faster Stochastic Algorithms for Minimax Optimization under Polyak--Łojasiewicz ConditionsNeural Information Processing Systems (NeurIPS), 2023
Le‐Yu Chen
Boyuan Yao
Luo Luo
153
17
0
29 Jul 2023
Local Convergence of Gradient Methods for Min-Max Games: Partial
  Curvature Generically Suffices
Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices
Guillaume Wang
Lénaïc Chizat
240
0
0
26 May 2023
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave
  Minimax Optimization
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax OptimizationNeural Information Processing Systems (NeurIPS), 2022
Taoli Zheng
Lingling Zhu
Anthony Man-Cho So
Jose H. Blanchet
Jiajin Li
456
24
0
26 Dec 2022
Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria
  of Continuous Games: A Mean-Field Perspective
Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field PerspectiveInternational Conference on Machine Learning (ICML), 2022
Yulong Lu
MLTAI4CE
204
27
0
17 Dec 2022
Iterative Minimax Games with Coupled Linear Constraints
Iterative Minimax Games with Coupled Linear Constraints
Hui-Li Zhang
Junlin Wang
Zi Xu
545
3
0
09 Dec 2022
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max ProblemsNeural Information Processing Systems (NeurIPS), 2020
Jiawei Zhang
Peijun Xiao
Tian Ding
Jianfeng Yao
411
109
0
29 Oct 2020
1