ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2107.00464
  4. Cited By
On the Convergence of Stochastic Extragradient for Bilinear Games using
  Restarted Iteration Averaging

On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging

30 June 2021
C. J. Li
Yaodong Yu
Nicolas Loizou
Gauthier Gidel
Yi Ma
Nicolas Le Roux
Michael I. Jordan
ArXivPDFHTML

Papers citing "On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging"

8 / 8 papers shown
Title
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
19
3
0
08 Jun 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
25
13
0
27 Feb 2023
Solving stochastic weak Minty variational inequalities without
  increasing batch size
Solving stochastic weak Minty variational inequalities without increasing batch size
Thomas Pethick
Olivier Fercoq
P. Latafat
Panagiotis Patrinos
V. Cevher
21
23
0
17 Feb 2023
The Primacy Bias in Deep Reinforcement Learning
The Primacy Bias in Deep Reinforcement Learning
Evgenii Nikishin
Max Schwarzer
P. DÓro
Pierre-Luc Bacon
Aaron C. Courville
OnRL
96
180
0
16 May 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
19
48
0
15 Feb 2022
Stochastic Extragradient: General Analysis and Improved Rates
Stochastic Extragradient: General Analysis and Improved Rates
Eduard A. Gorbunov
Hugo Berard
Gauthier Gidel
Nicolas Loizou
22
40
0
16 Nov 2021
Extragradient Method: $O(1/K)$ Last-Iterate Convergence for Monotone
  Variational Inequalities and Connections With Cocoercivity
Extragradient Method: O(1/K)O(1/K)O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity
Eduard A. Gorbunov
Nicolas Loizou
Gauthier Gidel
31
64
0
08 Oct 2021
Stochastic Variance Reduction for Variational Inequality Methods
Stochastic Variance Reduction for Variational Inequality Methods
Ahmet Alacaoglu
Yura Malitsky
58
68
0
16 Feb 2021
1