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Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization

Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization

11 August 2022
Le‐Yu Chen
Luo Luo
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Papers citing "Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization"

3 / 3 papers shown
Title
Second-Order Min-Max Optimization with Lazy Hessians
Second-Order Min-Max Optimization with Lazy Hessians
Lesi Chen
Chengchang Liu
Jingzhao Zhang
36
1
0
12 Oct 2024
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
32
31
0
29 Aug 2022
Stochastic Variance Reduction for Variational Inequality Methods
Stochastic Variance Reduction for Variational Inequality Methods
Ahmet Alacaoglu
Yura Malitsky
51
68
0
16 Feb 2021
1