A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Games

13 June 2019

Papers citing "A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Games"

5 / 5 papers shown

Title
The limits of min-max optimization algorithms: convergence to spurious non-critical sets Ya-Ping Hsieh P. Mertikopoulos V. Cevher 27 81 0 16 Jun 2020
On the Impossibility of Global Convergence in Multi-Loss Optimization Alistair Letcher 13 32 0 26 May 2020
Accelerating Smooth Games by Manipulating Spectral Shapes Waïss Azizian Damien Scieur Ioannis Mitliagkas Simon Lacoste-Julien Gauthier Gidel 33 48 0 02 Jan 2020
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets Mingrui Liu Youssef Mroueh Jerret Ross Wei Zhang Xiaodong Cui Payel Das Tianbao Yang ODL 30 63 0 26 Dec 2019
Reducing Noise in GAN Training with Variance Reduced Extragradient Tatjana Chavdarova Gauthier Gidel F. Fleuret Simon Lacoste-Julien 19 134 0 18 Apr 2019