Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2210.03096
Cited By
Accelerated Single-Call Methods for Constrained Min-Max Optimization
6 October 2022
Yang Cai
Weiqiang Zheng
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Accelerated Single-Call Methods for Constrained Min-Max Optimization"
16 / 16 papers shown
Title
Towards Weaker Variance Assumptions for Stochastic Optimization
Ahmet Alacaoglu
Yura Malitsky
Stephen J. Wright
31
0
0
14 Apr 2025
On the Interplay between Social Welfare and Tractability of Equilibria
Ioannis Anagnostides
T. Sandholm
50
2
0
10 Jan 2025
Randomized Truthful Auctions with Learning Agents
Gagan Aggarwal
Anupam Gupta
Andres Perlroth
Grigoris Velegkas
19
1
0
14 Nov 2024
COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences
Y. Liu
Argyris Oikonomou
Weiqiang Zheng
Yang Cai
Arman Cohan
37
1
0
30 Oct 2024
Extending the Reach of First-Order Algorithms for Nonconvex Min-Max Problems with Cohypomonotonicity
Ahmet Alacaoglu
Donghwan Kim
Stephen J. Wright
29
5
0
07 Feb 2024
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence Beyond the Minty Property
Ioannis Anagnostides
Ioannis Panageas
Gabriele Farina
T. Sandholm
33
3
0
19 Dec 2023
Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions
Xu Cai
Ahmet Alacaoglu
Jelena Diakonikolas
49
7
0
04 Oct 2023
Curvature-Independent Last-Iterate Convergence for Games on Riemannian Manifolds
Yong Cai
Michael I. Jordan
Tianyi Lin
Argyris Oikonomou
Emmanouil-Vasileios Vlatakis-Gkaragkounis
30
4
0
29 Jun 2023
Sublinear Convergence Rates of Extragradient-Type Methods: A Survey on Classical and Recent Developments
Quoc Tran-Dinh
35
7
0
30 Mar 2023
Extragradient-Type Methods with
O
(
1
/
k
)
\mathcal{O} (1/k)
O
(
1/
k
)
Last-Iterate Convergence Rates for Co-Hypomonotone Inclusions
Quoc Tran-Dinh
31
2
0
08 Feb 2023
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs
Theodore H. Moskovitz
Brendan O'Donoghue
Vivek Veeriah
Sebastian Flennerhag
Satinder Singh
Tom Zahavy
42
19
0
02 Feb 2023
Doubly Optimal No-Regret Learning in Monotone Games
Yang Cai
Weiqiang Zheng
46
11
0
30 Jan 2023
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games
Ioannis Anagnostides
Ioannis Panageas
Gabriele Farina
T. Sandholm
29
18
0
26 Jan 2023
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization
Taoli Zheng
Lingling Zhu
Anthony Man-Cho So
Jose H. Blanchet
Jiajin Li
43
13
0
26 Dec 2022
Generalised agent for solving higher board states of tic tac toe using Reinforcement Learning
Bhavuk Kalra
16
0
0
23 Dec 2022
Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion
Yang Cai
Argyris Oikonomou
Weiqiang Zheng
23
19
0
10 Jun 2022
1