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Faster Single-loop Algorithms for Minimax Optimization without Strong
  Concavity

Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity

10 December 2021
Junchi Yang
Antonio Orvieto
Aurélien Lucchi
Niao He
ArXivPDFHTML

Papers citing "Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity"

13 / 13 papers shown
Title
Diffusion Stochastic Learning Over Adaptive Competing Networks
Diffusion Stochastic Learning Over Adaptive Competing Networks
Yike Zhao
H. Cai
Ali H. Sayed
DiffM
28
0
0
28 Apr 2025
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
Tianyi Lin
Chi Jin
Michael I. Jordan
50
6
0
28 Jan 2025
Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis
Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis
Jiajin Li
Lingling Zhu
Anthony Man-Cho So
46
4
0
17 Jan 2025
Accelerated Stochastic Min-Max Optimization Based on Bias-corrected Momentum
Accelerated Stochastic Min-Max Optimization Based on Bias-corrected Momentum
H. Cai
Sulaiman A. Alghunaim
Ali H.Sayed
41
1
0
18 Jun 2024
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
10
7
0
14 Jul 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case
  Sharpness Minimization
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
Zhuo Huang
Miaoxi Zhu
Xiaobo Xia
Li Shen
Jun Yu
Chen Gong
Bo Han
Bo Du
Tongliang Liu
30
30
0
23 Mar 2023
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
Feihu Huang
Chunyu Xuan
Xinrui Wang
Siqi Zhang
Songcan Chen
21
7
0
07 Mar 2023
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax
  Optimization
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization
Xiang Li
Junchi Yang
Niao He
19
8
0
31 Oct 2022
Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax
  Optimization
Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization
Junchi Yang
Xiang Li
Niao He
ODL
27
22
0
01 Jun 2022
AUC Maximization in the Era of Big Data and AI: A Survey
AUC Maximization in the Era of Big Data and AI: A Survey
Tianbao Yang
Yiming Ying
19
178
0
28 Mar 2022
Federated Minimax Optimization: Improved Convergence Analyses and
  Algorithms
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
Pranay Sharma
Rohan Panda
Gauri Joshi
P. Varshney
FedML
19
46
0
09 Mar 2022
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
29
99
0
16 Oct 2019
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
119
1,194
0
16 Aug 2016
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