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2006.02032
Cited By
A Unified Single-loop Alternating Gradient Projection Algorithm for Nonconvex-Concave and Convex-Nonconcave Minimax Problems
3 June 2020
Zi Xu
Hui-Li Zhang
Yang Xu
Guanghui Lan
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Papers citing
"A Unified Single-loop Alternating Gradient Projection Algorithm for Nonconvex-Concave and Convex-Nonconcave Minimax Problems"
27 / 27 papers shown
Title
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
Tianyi Lin
Chi Jin
Michael I. Jordan
115
8
0
28 Jan 2025
Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis
Jiajin Li
Lingling Zhu
Anthony Man-Cho So
113
5
0
17 Jan 2025
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
Pranay Sharma
Rohan Panda
Gauri Joshi
P. Varshney
FedML
89
49
0
09 Mar 2022
The Landscape of the Proximal Point Method for Nonconvex-Nonconcave Minimax Optimization
Benjamin Grimmer
Haihao Lu
Pratik Worah
Vahab Mirrokni
66
9
0
15 Jun 2020
Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems
Junchi Yang
Negar Kiyavash
Niao He
80
84
0
22 Feb 2020
Near-Optimal Algorithms for Minimax Optimization
Tianyi Lin
Chi Jin
Michael I. Jordan
145
254
0
05 Feb 2020
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
Lampros Flokas
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Georgios Piliouras
MLT
60
41
0
28 Oct 2019
Efficient Algorithms for Smooth Minimax Optimization
K. K. Thekumparampil
Prateek Jain
Praneeth Netrapalli
Sewoong Oh
83
192
0
02 Jul 2019
Last-iterate convergence rates for min-max optimization
Jacob D. Abernethy
Kevin A. Lai
Andre Wibisono
81
74
0
05 Jun 2019
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
Tianyi Lin
Chi Jin
Michael I. Jordan
120
507
0
02 Jun 2019
Differentiable Game Mechanics
Alistair Letcher
David Balduzzi
S. Racanière
James Martens
Jakob N. Foerster
K. Tuyls
T. Graepel
62
80
0
13 May 2019
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods
Maher Nouiehed
Maziar Sanjabi
Tianjian Huang
Jason D. Lee
Meisam Razaviyayn
80
344
0
21 Feb 2019
Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications
Songtao Lu
Ioannis C. Tsaknakis
Mingyi Hong
Yongxin Chen
69
170
0
21 Feb 2019
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
Chi Jin
Praneeth Netrapalli
Michael I. Jordan
91
84
0
02 Feb 2019
On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games
Eric V. Mazumdar
Michael I. Jordan
S. Shankar Sastry
96
119
0
03 Jan 2019
Finding Mixed Nash Equilibria of Generative Adversarial Networks
Ya-Ping Hsieh
Chen Liu
S. Chakrabartty
GAN
65
92
0
23 Oct 2018
Negative Momentum for Improved Game Dynamics
Gauthier Gidel
Reyhane Askari Hemmat
Mohammad Pezeshki
Rémi Le Priol
Gabriel Huang
Simon Lacoste-Julien
Ioannis Mitliagkas
AI4CE
63
180
0
12 Jul 2018
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization
C. Daskalakis
Ioannis Panageas
69
256
0
11 Jul 2018
Robust Optimization over Multiple Domains
Qi Qian
Shenghuo Zhu
Jiasheng Tang
Rong Jin
Baigui Sun
Hao Li
OOD
67
71
0
19 May 2018
Local Saddle Point Optimization: A Curvature Exploitation Approach
Leonard Adolphs
Hadi Daneshmand
Aurelien Lucchi
Thomas Hofmann
119
107
0
15 May 2018
A Variational Inequality Perspective on Generative Adversarial Networks
Gauthier Gidel
Hugo Berard
Gaëtan Vignoud
Pascal Vincent
Simon Lacoste-Julien
GAN
133
353
0
28 Feb 2018
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
Maziar Sanjabi
Jimmy Ba
Meisam Razaviyayn
Jason D. Lee
GAN
76
138
0
22 Feb 2018
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
81
1,465
0
13 Jan 2018
Training GANs with Optimism
C. Daskalakis
Andrew Ilyas
Vasilis Syrgkanis
Haoyang Zeng
173
519
0
31 Oct 2017
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
140
3,106
0
10 Jun 2016
Distributionally Robust Logistic Regression
Soroosh Shafieezadeh-Abadeh
Peyman Mohajerin Esfahani
Daniel Kuhn
OOD
78
306
0
30 Sep 2015
Decentralized learning for wireless communications and networking
G. Giannakis
Qing Ling
Gonzalo Mateos
I. Schizas
Hao Zhu
65
88
0
30 Mar 2015
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