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2006.09065
Cited By
The limits of min-max optimization algorithms: convergence to spurious non-critical sets
16 June 2020
Ya-Ping Hsieh
P. Mertikopoulos
V. Cevher
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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
Daniel Larby
F. Forni
62
1
0
20 Jan 2025
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
Liang Zhang
Niao He
Michael Muehlebach
42
2
0
19 Mar 2024
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
Minxing Zhang
Michael Backes
Xiao Zhang
AAML
40
1
0
06 Oct 2023
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
Carlos Martin
T. Sandholm
28
11
0
29 Nov 2022
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
Otmane Sakhi
D. Rohde
Alexandre Gilotte
OffRL
39
3
0
08 Aug 2022
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
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
Minwoo Chae
GAN
32
4
0
07 Feb 2022
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
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
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
P. Mertikopoulos
Nadav Hallak
Ali Kavis
V. Cevher
21
85
0
19 Jun 2020
On the Impossibility of Global Convergence in Multi-Loss Optimization
Alistair Letcher
24
32
0
26 May 2020
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