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2002.09621
Cited By
Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems
22 February 2020
Junchi Yang
Negar Kiyavash
Niao He
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Papers citing
"Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems"
12 / 12 papers shown
Title
Can We Find Nash Equilibria at a Linear Rate in Markov Games?
Zhuoqing Song
Jason D. Lee
Zhuoran Yang
16
8
0
03 Mar 2023
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
Thomas Pethick
P. Latafat
Panagiotis Patrinos
Olivier Fercoq
V. Cevher
12
45
0
20 Feb 2023
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems
Hongchang Gao
10
16
0
06 Dec 2022
An Optimal Transport Approach to Personalized Federated Learning
Farzan Farnia
Amirhossein Reisizadeh
Ramtin Pedarsani
Ali Jadbabaie
OT
OOD
FedML
14
12
0
06 Jun 2022
A Decentralized Adaptive Momentum Method for Solving a Class of Min-Max Optimization Problems
Babak Barazandeh
Tianjian Huang
George Michailidis
11
12
0
10 Jun 2021
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization
Haochuan Li
Yi Tian
Jingzhao Zhang
Ali Jadbabaie
9
40
0
18 Apr 2021
Stochastic Hamiltonian Gradient Methods for Smooth Games
Nicolas Loizou
Hugo Berard
Alexia Jolicoeur-Martineau
Pascal Vincent
Simon Lacoste-Julien
Ioannis Mitliagkas
14
51
0
08 Jul 2020
Robust Federated Learning: The Case of Affine Distribution Shifts
Amirhossein Reisizadeh
Farzan Farnia
Ramtin Pedarsani
Ali Jadbabaie
FedML
OOD
22
160
0
16 Jun 2020
The Landscape of the Proximal Point Method for Nonconvex-Nonconcave Minimax Optimization
Benjamin Grimmer
Haihao Lu
Pratik Worah
Vahab Mirrokni
10
9
0
15 Jun 2020
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity
S. Du
Wei Hu
53
119
0
05 Feb 2018
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
119
1,190
0
16 Aug 2016
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
76
736
0
19 Mar 2014
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