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Near Optimal Stochastic Algorithms for Finite-Sum Unbalanced
  Convex-Concave Minimax Optimization
v1v2 (latest)

Near Optimal Stochastic Algorithms for Finite-Sum Unbalanced Convex-Concave Minimax Optimization

3 June 2021
Luo Luo
Guangzeng Xie
Tong Zhang
Zhihua Zhang
ArXiv (abs)PDFHTML

Papers citing "Near Optimal Stochastic Algorithms for Finite-Sum Unbalanced Convex-Concave Minimax Optimization"

14 / 14 papers shown
Title
Multiple Greedy Quasi-Newton Methods for Saddle Point Problems
Multiple Greedy Quasi-Newton Methods for Saddle Point Problems
Minheng Xiao
Shi Bo
152
5
0
01 Aug 2024
Near-Optimal Distributed Minimax Optimization under the Second-Order
  Similarity
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity
Qihao Zhou
Haishan Ye
Luo Luo
85
0
0
25 May 2024
Efficient Algorithms for Empirical Group Distributional Robust
  Optimization and Beyond
Efficient Algorithms for Empirical Group Distributional Robust Optimization and Beyond
Dingzhi Yu
Yu-yan Cai
Wei Jiang
Lijun Zhang
78
6
0
06 Mar 2024
Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions
Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions
Xu Cai
Ahmet Alacaoglu
Jelena Diakonikolas
99
8
0
04 Oct 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
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
Smooth Monotone Stochastic Variational Inequalities and Saddle Point
  Problems: A Survey
Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems: A Survey
Aleksandr Beznosikov
Boris Polyak
Eduard A. Gorbunov
D. Kovalev
Alexander Gasnikov
88
31
0
29 Aug 2022
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization
Le‐Yu Chen
Luo Luo
97
8
0
11 Aug 2022
Bring Your Own Algorithm for Optimal Differentially Private Stochastic
  Minimax Optimization
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
Liang Zhang
K. K. Thekumparampil
Sewoong Oh
Niao He
92
20
0
01 Jun 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
112
49
0
09 Mar 2022
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient
  Methods
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods
Aleksandr Beznosikov
Eduard A. Gorbunov
Hugo Berard
Nicolas Loizou
100
50
0
15 Feb 2022
Decentralized Stochastic Variance Reduced Extragradient Method
Decentralized Stochastic Variance Reduced Extragradient Method
Luo Luo
Haishan Ye
114
7
0
01 Feb 2022
Faster Single-loop Algorithms for Minimax Optimization without Strong
  Concavity
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity
Junchi Yang
Antonio Orvieto
Aurelien Lucchi
Niao He
109
64
0
10 Dec 2021
Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave
  Minimax Optimization
Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization
Luo Luo
Yujun Li
Cheng Chen
64
14
0
10 Oct 2021
1