On Convergence of Gradient Descent Ascent: A Tight Local Analysis

Haochuan Li, Farzan Farnia, Subhro Das +1

Gradient Descent Ascent (GDA) methods are the mainstream algorithms for minimax optimization in generative adversarial networks (GANs). Convergence properties of GDA have drawn sig…