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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"

12 / 12 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
41
1
0
20 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
32
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
16
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
32
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
17
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
6
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
11
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
24
3
0
08 Aug 2022
Riemannian stochastic approximation algorithms
Riemannian stochastic approximation algorithms
Mohammad Reza Karimi
Ya-Ping Hsieh
P. Mertikopoulos
Andreas Krause
14
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
19
46
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
21
4
0
07 Feb 2022
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
19
7
0
20 Oct 2020
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