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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
Aurelien Lucchi
Niao He
ArXiv (abs)PDFHTML

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

39 / 39 papers shown
Title
Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
Yi-Hu Feng
Kaito Fujii
Stratis Skoulakis
Xiao Wang
Volkan Cevher
100
0
0
26 May 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
55
1
0
12 May 2025
Diffusion Stochastic Learning Over Adaptive Competing Networks
Diffusion Stochastic Learning Over Adaptive Competing Networks
Yike Zhao
H. Cai
Ali H. Sayed
DiffM
66
0
0
28 Apr 2025
A stochastic smoothing framework for nonconvex-nonconcave min-sum-max problems with applications to Wasserstein distributionally robust optimization
A stochastic smoothing framework for nonconvex-nonconcave min-sum-max problems with applications to Wasserstein distributionally robust optimization
Wei Liu
Muhammad Khan
Gabriel Mancino-Ball
Yangyang Xu
87
1
0
24 Feb 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
154
8
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
161
5
0
17 Jan 2025
Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying
  Networks
Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying Networks
Mohammadreza Doostmohammadian
Zulfiya R. Gabidullina
Hamid R. Rabiee
66
9
0
05 Aug 2024
Accelerating Distributed Optimization: A Primal-Dual Perspective on
  Local Steps
Accelerating Distributed Optimization: A Primal-Dual Perspective on Local Steps
Junchi Yang
Murat Yildirim
Qiu Feng
112
0
0
02 Jul 2024
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
115
1
0
18 Jun 2024
Achieving Near-Optimal Convergence for Distributed Minimax Optimization
  with Adaptive Stepsizes
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes
Yan Huang
Xiang Li
Yipeng Shen
Niao He
Jinming Xu
102
1
0
05 Jun 2024
Single-loop Stochastic Algorithms for Difference of Max-Structured
  Weakly Convex Functions
Single-loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
Quanqi Hu
Qi Qi
Zhaosong Lu
Tianbao Yang
103
2
0
28 May 2024
Dissipative Gradient Descent Ascent Method: A Control Theory Inspired
  Algorithm for Min-max Optimization
Dissipative Gradient Descent Ascent Method: A Control Theory Inspired Algorithm for Min-max Optimization
Tianqi Zheng
Nicolas Loizou
Pengcheng You
Enrique Mallada
81
1
0
14 Mar 2024
Learning with Logical Constraints but without Shortcut Satisfaction
Learning with Logical Constraints but without Shortcut Satisfaction
Zenan Li
Zehua Liu
Yuan Yao
Jingwei Xu
Taolue Chen
Xiaoxing Ma
Jian Lu
NAI
105
20
0
01 Mar 2024
Diffusion Stochastic Optimization for Min-Max Problems
Diffusion Stochastic Optimization for Min-Max Problems
H. Cai
Sulaiman A. Alghunaim
Ali H. Sayed
79
2
0
26 Jan 2024
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax
  Optimization
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization
Wei Shen
Minhui Huang
Jiawei Zhang
Cong Shen
FedML
108
2
0
02 Nov 2023
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 problems
Hui-Li Zhang
Zi Xu
ODL
87
0
0
24 Oct 2023
Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models
Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models
Miaoxi Zhu
Qihuang Zhong
Li Shen
Liang Ding
Juhua Liu
Bo Du
Dacheng Tao
MQVLM
71
1
0
20 Oct 2023
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
Xidong Wu
Jianhui Sun
Zhengmian Hu
Aidong Zhang
Heng-Chiao Huang
FedML
158
13
0
05 Oct 2023
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order
  Stochastic Approximation
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
Jeongyeol Kwon
Dohyun Kwon
Steve Wright
Robert D. Nowak
96
30
0
04 Sep 2023
Faster Stochastic Algorithms for Minimax Optimization under
  Polyak--Łojasiewicz Conditions
Faster Stochastic Algorithms for Minimax Optimization under Polyak--Łojasiewicz Conditions
Le‐Yu Chen
Boyuan Yao
Luo Luo
64
15
0
29 Jul 2023
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
124
8
0
14 Jul 2023
Communication-Efficient Gradient Descent-Accent Methods for Distributed
  Variational Inequalities: Unified Analysis and Local Updates
Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates
Siqi Zhang
S. Choudhury
Sebastian U. Stich
Nicolas Loizou
FedML
139
4
0
08 Jun 2023
Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax
  Problems
Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems
Feihu Huang
Songcan Chen
82
5
0
21 Apr 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
83
36
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
122
7
0
07 Mar 2023
Federated Minimax Optimization with Client Heterogeneity
Federated Minimax Optimization with Client Heterogeneity
Pranay Sharma
Rohan Panda
Gauri Joshi
FedML
94
9
0
08 Feb 2023
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave
  Minimax Optimization
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization
Taoli Zheng
Lingling Zhu
Anthony Man-Cho So
Jose H. Blanchet
Jiajin Li
133
15
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 Perspective
Yulong Lu
MLTAI4CE
59
23
0
17 Dec 2022
Zeroth-Order Alternating Gradient Descent Ascent Algorithms for a Class
  of Nonconvex-Nonconcave Minimax Problems
Zeroth-Order Alternating Gradient Descent Ascent Algorithms for a Class of Nonconvex-Nonconcave Minimax Problems
Zi Xu
Ziqi Wang
Junlin Wang
Y. Dai
106
11
0
24 Nov 2022
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
81
9
0
31 Oct 2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For
  Nonconvex Minimax Problems
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
Pouria Mahdavinia
Yuyang Deng
Haochuan Li
M. Mahdavi
117
13
0
17 Oct 2022
SGDA with shuffling: faster convergence for nonconvex-PŁ minimax
  optimization
SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization
Hanseul Cho
Chulhee Yun
64
9
0
12 Oct 2022
What is a Good Metric to Study Generalization of Minimax Learners?
What is a Good Metric to Study Generalization of Minimax Learners?
Asuman Ozdaglar
S. Pattathil
Jiawei Zhang
Kai Zhang
71
14
0
09 Jun 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
113
22
0
01 Jun 2022
Algorithmic Foundations of Empirical X-risk Minimization
Algorithmic Foundations of Empirical X-risk Minimization
Tianbao Yang
166
6
0
01 Jun 2022
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax
  Optimization
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization
Siqi Zhang
Yifan Hu
Liang Zhang
Niao He
91
4
0
28 May 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
181
193
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
114
49
0
09 Mar 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 Problems
Jiawei Zhang
Peijun Xiao
Ruoyu Sun
Zhi-Quan Luo
128
99
0
29 Oct 2020
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