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. 2006.09065
  4. Cited By
The limits of min-max optimization algorithms: convergence to spurious
  non-critical sets

The limits of min-max optimization algorithms: convergence to spurious non-critical sets

16 June 2020
Ya-Ping Hsieh
P. Mertikopoulos
V. Cevher
ArXivPDFHTML

Papers citing "The limits of min-max optimization algorithms: convergence to spurious non-critical sets"

17 / 17 papers shown
Title
Optimal Virtual Model Control for Robotics: Design and Tuning of Passivity-Based Controllers
Optimal Virtual Model Control for Robotics: Design and Tuning of Passivity-Based Controllers
Daniel Larby
F. Forni
62
1
0
20 Jan 2025
Solving Infinite-Player Games with Player-to-Strategy Networks
Solving Infinite-Player Games with Player-to-Strategy Networks
Carlos Martin
T. Sandholm
54
0
0
17 Jan 2025
Primal Methods for Variational Inequality Problems with Functional Constraints
Primal Methods for Variational Inequality Problems with Functional Constraints
Liang Zhang
Niao He
Michael Muehlebach
42
2
0
19 Mar 2024
Stable Nonconvex-Nonconcave Training via Linear Interpolation
Stable Nonconvex-Nonconcave Training via Linear Interpolation
Thomas Pethick
Wanyun Xie
V. Cevher
35
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
40
1
0
06 Oct 2023
Escaping limit cycles: Global convergence for constrained
  nonconvex-nonconcave minimax problems
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
Thomas Pethick
P. Latafat
Panagiotis Patrinos
Olivier Fercoq
V. Cevher
38
45
0
20 Feb 2023
Finding mixed-strategy equilibria of continuous-action games without
  gradients using randomized policy networks
Finding mixed-strategy equilibria of continuous-action games without gradients using randomized policy networks
Carlos Martin
T. Sandholm
28
11
0
29 Nov 2022
A Dynamical System View of Langevin-Based Non-Convex Sampling
A Dynamical System View of Langevin-Based Non-Convex Sampling
Mohammad Reza Karimi
Ya-Ping Hsieh
Andreas Krause
40
4
0
25 Oct 2022
Fast Offline Policy Optimization for Large Scale Recommendation
Fast Offline Policy Optimization for Large Scale Recommendation
Otmane Sakhi
D. Rohde
Alexandre Gilotte
OffRL
39
3
0
08 Aug 2022
Riemannian stochastic approximation algorithms
Riemannian stochastic approximation algorithms
Mohammad Reza Karimi
Ya-Ping Hsieh
P. Mertikopoulos
Andreas Krause
29
2
0
14 Jun 2022
Federated Minimax Optimization: Improved Convergence Analyses and
  Algorithms
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
Pranay Sharma
Rohan Panda
Gauri Joshi
P. Varshney
FedML
21
47
0
09 Mar 2022
Rates of convergence for nonparametric estimation of singular
  distributions using generative adversarial networks
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks
Minwoo Chae
GAN
32
4
0
07 Feb 2022
Faster Single-loop Algorithms for Minimax Optimization without Strong
  Concavity
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity
Junchi Yang
Antonio Orvieto
Aurelien Lucchi
Niao He
27
62
0
10 Dec 2021
Learning in Matrix Games can be Arbitrarily Complex
Learning in Matrix Games can be Arbitrarily Complex
Gabriel P. Andrade
Rafael M. Frongillo
Georgios Piliouras
15
31
0
05 Mar 2021
Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via
  Continuous-Time Systems
Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems
Benjamin Grimmer
Haihao Lu
Pratik Worah
Vahab Mirrokni
34
7
0
20 Oct 2020
On the Almost Sure Convergence of Stochastic Gradient Descent in
  Non-Convex Problems
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems
P. Mertikopoulos
Nadav Hallak
Ali Kavis
V. Cevher
21
85
0
19 Jun 2020
On the Impossibility of Global Convergence in Multi-Loss Optimization
On the Impossibility of Global Convergence in Multi-Loss Optimization
Alistair Letcher
24
32
0
26 May 2020
1