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2002.05683
Cited By
An Optimal Multistage Stochastic Gradient Method for Minimax Problems
IEEE Conference on Decision and Control (CDC), 2020
13 February 2020
Alireza Fallah
Asuman Ozdaglar
S. Pattathil
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Papers citing
"An Optimal Multistage Stochastic Gradient Method for Minimax Problems"
16 / 16 papers shown
Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective
Muhammad Aneeq uz Zaman
Mathieu Laurière
Alec Koppel
Tamer Basar
321
8
0
20 Jun 2024
Min-Max Optimization under Delays
American Control Conference (ACC), 2023
Arman Adibi
A. Mitra
Hamed Hassani
417
2
0
13 Jul 2023
A Central Limit Theorem for Algorithmic Estimator of Saddle Point
Abhishek Roy
Yian Ma
424
1
0
09 Jun 2023
Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates
International Conference on Learning Representations (ICLR), 2023
Siqi Zhang
S. Choudhury
Sebastian U. Stich
Nicolas Loizou
FedML
582
9
0
08 Jun 2023
Symmetric (Optimistic) Natural Policy Gradient for Multi-agent Learning with Parameter Convergence
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
S. Pattathil
Jianchao Tan
Asuman Ozdaglar
372
15
0
23 Oct 2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
Neural Information Processing Systems (NeurIPS), 2022
Pouria Mahdavinia
Yuyang Deng
Haochuan Li
M. Mahdavi
315
21
0
17 Oct 2022
Optimal Extragradient-Based Bilinearly-Coupled Saddle-Point Optimization
S. Du
Gauthier Gidel
Sai Li
C. J. Li
606
10
0
17 Jun 2022
What is a Good Metric to Study Generalization of Minimax Learners?
Neural Information Processing Systems (NeurIPS), 2022
Asuman Ozdaglar
S. Pattathil
Jiawei Zhang
Jianchao Tan
286
17
0
09 Jun 2022
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces
Neural Information Processing Systems (NeurIPS), 2022
Sai Li
Tianyi Lin
Emmanouil-Vasileios Vlatakis-Gkaragkounis
312
23
0
04 Jun 2022
A Variance-Reduced Stochastic Accelerated Primal Dual Algorithm
Bugra Can
Mert Gurbuzbalaban
N. Aybat
267
5
0
19 Feb 2022
Generalized Optimistic Methods for Convex-Concave Saddle Point Problems
Ruichen Jiang
Aryan Mokhtari
304
42
0
19 Feb 2022
Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning
International Symposium on Information Theory (ISIT), 2021
Ziyi Chen
Shaocong Ma
Yi Zhou
606
10
0
22 Dec 2021
FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning
Charlie Hou
K. K. Thekumparampil
Giulia Fanti
Sewoong Oh
FedML
395
16
0
16 Aug 2021
Tight last-iterate convergence rates for no-regret learning in multi-player games
Neural Information Processing Systems (NeurIPS), 2020
Noah Golowich
S. Pattathil
C. Daskalakis
321
95
0
26 Oct 2020
A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints
Journal of machine learning research (JMLR), 2020
Guodong Zhang
Xuchao Bao
Laurent Lessard
Roger C. Grosse
457
28
0
23 Sep 2020
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling
Neural Information Processing Systems (NeurIPS), 2020
Yu-Guan Hsieh
F. Iutzeler
J. Malick
P. Mertikopoulos
344
76
0
23 Mar 2020
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