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Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex
  Minimax Machine Learning

Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning

22 December 2021
Ziyi Chen
Shaocong Ma
Yi Zhou
ArXivPDFHTML

Papers citing "Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning"

3 / 3 papers shown
Title
Variance-reduced accelerated methods for decentralized stochastic
  double-regularized nonconvex strongly-concave minimax problems
Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems
Gabriel Mancino-Ball
Yangyang Xu
20
8
0
14 Jul 2023
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
Yuanhao Wang
Guodong Zhang
Jimmy Ba
33
100
0
16 Oct 2019
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave
  Saddle Point Problems without Strong Convexity
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity
S. Du
Wei Hu
58
120
0
05 Feb 2018
1