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Smooth Monotone Stochastic Variational Inequalities and Saddle Point
  Problems: A Survey

Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems: A Survey

29 August 2022
Aleksandr Beznosikov
Boris Polyak
Eduard A. Gorbunov
D. Kovalev
Alexander Gasnikov
ArXivPDFHTML

Papers citing "Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems: A Survey"

13 / 13 papers shown
Title
Variance Reduction Methods Do Not Need to Compute Full Gradients: Improved Efficiency through Shuffling
Variance Reduction Methods Do Not Need to Compute Full Gradients: Improved Efficiency through Shuffling
Daniil Medyakov
Gleb Molodtsov
S. Chezhegov
Alexey Rebrikov
Aleksandr Beznosikov
84
0
0
21 Feb 2025
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
21
1
0
14 Mar 2024
Omega: Optimistic EMA Gradients
Omega: Optimistic EMA Gradients
Juan Ramirez
Rohan Sukumaran
Quentin Bertrand
Gauthier Gidel
16
0
0
13 Jun 2023
Unified analysis of SGD-type methods
Unified analysis of SGD-type methods
Eduard A. Gorbunov
14
2
0
29 Mar 2023
Single-Call Stochastic Extragradient Methods for Structured Non-monotone
  Variational Inequalities: Improved Analysis under Weaker Conditions
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions
S. Choudhury
Eduard A. Gorbunov
Nicolas Loizou
16
13
0
27 Feb 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient
  Communications for Distributed Variational Inequalities
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities
Aleksandr Beznosikov
Martin Takáč
Alexander Gasnikov
21
10
0
15 Feb 2023
Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization
Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization
C. J. Li
An Yuan
Gauthier Gidel
Quanquan Gu
Michael I. Jordan
15
6
0
31 Oct 2022
Optimal Gradient Sliding and its Application to Distributed Optimization
  Under Similarity
Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity
D. Kovalev
Aleksandr Beznosikov
Ekaterina Borodich
Alexander Gasnikov
G. Scutari
28
12
0
30 May 2022
The First Optimal Acceleration of High-Order Methods in Smooth Convex
  Optimization
The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization
D. Kovalev
Alexander Gasnikov
36
29
0
19 May 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities
Optimal Algorithms for Decentralized Stochastic Variational Inequalities
D. Kovalev
Aleksandr Beznosikov
Abdurakhmon Sadiev
Michael Persiianov
Peter Richtárik
Alexander Gasnikov
25
34
0
06 Feb 2022
On the One-sided Convergence of Adam-type Algorithms in Non-convex
  Non-concave Min-max Optimization
On the One-sided Convergence of Adam-type Algorithms in Non-convex Non-concave Min-max Optimization
Zehao Dou
Yuanzhi Li
23
13
0
29 Sep 2021
Stochastic Variance Reduction for Variational Inequality Methods
Stochastic Variance Reduction for Variational Inequality Methods
Ahmet Alacaoglu
Yura Malitsky
51
61
0
16 Feb 2021
Convex Sparse Matrix Factorizations
Convex Sparse Matrix Factorizations
Francis R. Bach
Julien Mairal
Jean Ponce
121
143
0
10 Dec 2008
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