Two steps at a time -- taking GAN training in stride with Tseng's method

Axel Böhm, Michael Sedlmayer, Ernö Robert Csetnek +1

Motivated by the training of Generative Adversarial Networks (GANs), we study methods for solving minimax problems with additional nonsmooth regularizers. We do so by employing \em…