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Near Optimal Stochastic Algorithms for Finite-Sum Unbalanced Convex-Concave Minimax Optimization
3 June 2021
Luo Luo
Guangzeng Xie
Tong Zhang
Zhihua Zhang
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Papers citing
"Near Optimal Stochastic Algorithms for Finite-Sum Unbalanced Convex-Concave Minimax Optimization"
14 / 14 papers shown
Title
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Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity
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Efficient Algorithms for Empirical Group Distributional Robust Optimization and Beyond
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Yu-yan Cai
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Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions
Xu Cai
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99
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04 Oct 2023
Faster Stochastic Algorithms for Minimax Optimization under Polyak--Łojasiewicz Conditions
Le‐Yu Chen
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64
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29 Jul 2023
Federated Minimax Optimization with Client Heterogeneity
Pranay Sharma
Rohan Panda
Gauri Joshi
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94
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08 Feb 2023
Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems: A Survey
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Eduard A. Gorbunov
D. Kovalev
Alexander Gasnikov
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29 Aug 2022
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization
Le‐Yu Chen
Luo Luo
97
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11 Aug 2022
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
Liang Zhang
K. K. Thekumparampil
Sewoong Oh
Niao He
92
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01 Jun 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
Pranay Sharma
Rohan Panda
Gauri Joshi
P. Varshney
FedML
112
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09 Mar 2022
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods
Aleksandr Beznosikov
Eduard A. Gorbunov
Hugo Berard
Nicolas Loizou
100
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15 Feb 2022
Decentralized Stochastic Variance Reduced Extragradient Method
Luo Luo
Haishan Ye
114
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01 Feb 2022
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
Luo Luo
Yujun Li
Cheng Chen
64
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10 Oct 2021
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