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

no code implementations • 1 Jan 2021 • Axel Böhm, Michael Sedlmayer, Ernö Robert Csetnek, Radu Ioan Bot

Motivated by the training of Generative Adversarial Networks (GANs), we study methods for solving minimax problems with additional nonsmooth regularizers.

A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs

no code implementations • 17 Mar 2020 • Radu Ioan Bot, Michael Sedlmayer, Phan Tu Vuong

We introduce a relaxed inertial forward-backward-forward (RIFBF) splitting algorithm for approaching the set of zeros of the sum of a maximally monotone operator and a single-valued monotone and Lipschitz continuous operator.