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Convergence of Gradient Methods on Bilinear Zero-Sum Games

Convergence of Gradient Methods on Bilinear Zero-Sum Games

15 August 2019
Guojun Zhang
Yaoliang Yu
ArXivPDFHTML

Papers citing "Convergence of Gradient Methods on Bilinear Zero-Sum Games"

5 / 5 papers shown
Title
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
An Efficient Nonlinear Acceleration method that Exploits Symmetry of the
  Hessian
An Efficient Nonlinear Acceleration method that Exploits Symmetry of the Hessian
Huan He
Shifan Zhao
Z. Tang
Joyce C. Ho
Y. Saad
Yuanzhe Xi
32
3
0
22 Oct 2022
Training Generative Adversarial Networks with Adaptive Composite
  Gradient
Training Generative Adversarial Networks with Adaptive Composite Gradient
Huiqing Qi
Fang Li
Shengli Tan
Xiangyun Zhang
GAN
29
3
0
10 Nov 2021
Adaptive Learning in Continuous Games: Optimal Regret Bounds and
  Convergence to Nash Equilibrium
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium
Yu-Guan Hsieh
Kimon Antonakopoulos
P. Mertikopoulos
18
75
0
26 Apr 2021
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
Ya-Ping Hsieh
P. Mertikopoulos
V. Cevher
35
81
0
16 Jun 2020
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