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Escaping limit cycles: Global convergence for constrained
  nonconvex-nonconcave minimax problems

Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems

20 February 2023
Thomas Pethick
P. Latafat
Panagiotis Patrinos
Olivier Fercoq
V. Cevher
ArXivPDFHTML

Papers citing "Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems"

27 / 27 papers shown
Title
Min-Max Optimisation for Nonconvex-Nonconcave Functions Using a Random Zeroth-Order Extragradient Algorithm
Min-Max Optimisation for Nonconvex-Nonconcave Functions Using a Random Zeroth-Order Extragradient Algorithm
Amir Ali Farzin
Yuen-Man Pun
Philipp Braun
Antoine Lesage-Landry
Youssef Diouane
Iman Shames
37
1
0
10 Apr 2025
Effect-driven interpretation: Functors for natural language composition
Effect-driven interpretation: Functors for natural language composition
Dylan Bumford
Simon Charlow
49
1
0
01 Apr 2025
Expected Variational Inequalities
Expected Variational Inequalities
B. Zhang
Ioannis Anagnostides
Emanuel Tewolde
Ratip Emin Berker
Gabriele Farina
Vincent Conitzer
T. Sandholm
96
0
0
25 Feb 2025
Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems
Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems
Quoc Tran-Dinh
Yang Luo
89
6
0
28 Jan 2025
On the Interplay between Social Welfare and Tractability of Equilibria
On the Interplay between Social Welfare and Tractability of Equilibria
Ioannis Anagnostides
T. Sandholm
42
2
0
10 Jan 2025
Extending the Reach of First-Order Algorithms for Nonconvex Min-Max
  Problems with Cohypomonotonicity
Extending the Reach of First-Order Algorithms for Nonconvex Min-Max Problems with Cohypomonotonicity
Ahmet Alacaoglu
Donghwan Kim
Stephen J. Wright
16
3
0
07 Feb 2024
Optimistic Policy Gradient in Multi-Player Markov Games with a Single
  Controller: Convergence Beyond the Minty Property
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
26
3
0
19 Dec 2023
Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity
Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity
B. Evens
P. Latafat
Panagiotis Patrinos
8
3
0
11 Dec 2023
Stable Nonconvex-Nonconcave Training via Linear Interpolation
Stable Nonconvex-Nonconcave Training via Linear Interpolation
Thomas Pethick
Wanyun Xie
V. Cevher
13
5
0
20 Oct 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization
Generating Less Certain Adversarial Examples Improves Robust Generalization
Minxing Zhang
Michael Backes
Xiao Zhang
AAML
30
1
0
06 Oct 2023
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
11
3
0
08 Jun 2023
Beyond first-order methods for non-convex non-concave min-max
  optimization
Beyond first-order methods for non-convex non-concave min-max optimization
Abhijeet Vyas
Brian Bullins
12
1
0
17 Apr 2023
Sublinear Convergence Rates of Extragradient-Type Methods: A Survey on
  Classical and Recent Developments
Sublinear Convergence Rates of Extragradient-Type Methods: A Survey on Classical and Recent Developments
Quoc Tran-Dinh
19
7
0
30 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
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
8
23
0
17 Feb 2023
Extragradient-Type Methods with $\mathcal{O} (1/k)$ Last-Iterate
  Convergence Rates for Co-Hypomonotone Inclusions
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
11
2
0
08 Feb 2023
Adaptive proximal algorithms for convex optimization under local
  Lipschitz continuity of the gradient
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient
P. Latafat
Andreas Themelis
L. Stella
Panagiotis Patrinos
11
26
0
11 Jan 2023
Min-Max Optimization Made Simple: Approximating the Proximal Point
  Method via Contraction Maps
Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps
V. Cevher
Georgios Piliouras
Ryann Sim
Stratis Skoulakis
10
6
0
10 Jan 2023
Beyond the Golden Ratio for Variational Inequality Algorithms
Beyond the Golden Ratio for Variational Inequality Algorithms
Ahmet Alacaoglu
A. Böhm
Yura Malitsky
11
13
0
28 Dec 2022
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave
  Minimax Optimization
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization
Taoli Zheng
Lingling Zhu
Anthony Man-Cho So
Jose H. Blanchet
Jiajin Li
30
13
0
26 Dec 2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For
  Nonconvex Minimax Problems
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
Pouria Mahdavinia
Yuyang Deng
Haochuan Li
M. Mahdavi
20
12
0
17 Oct 2022
Accelerated Single-Call Methods for Constrained Min-Max Optimization
Accelerated Single-Call Methods for Constrained Min-Max Optimization
Yang Cai
Weiqiang Zheng
16
30
0
06 Oct 2022
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization
Le‐Yu Chen
Luo Luo
16
7
0
11 Aug 2022
No-Regret Learning in Games with Noisy Feedback: Faster Rates and
  Adaptivity via Learning Rate Separation
No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation
Yu-Guan Hsieh
Kimon Antonakopoulos
V. Cevher
P. Mertikopoulos
11
26
0
13 Jun 2022
Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max
  Optimization and Comonotone Inclusion
Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion
Yang Cai
Argyris Oikonomou
Weiqiang Zheng
13
19
0
10 Jun 2022
Independent Policy Gradient Methods for Competitive Reinforcement
  Learning
Independent Policy Gradient Methods for Competitive Reinforcement Learning
C. Daskalakis
Dylan J. Foster
Noah Golowich
57
158
0
11 Jan 2021
A method for escaping limit cycles in training GANs
A method for escaping limit cycles in training GANs
Li Keke
Xinmin Yang
23
0
0
07 Oct 2020
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