Poster spotlight
in
Workshop: Smooth Games Optimization and Machine Learning
Abstract
1) Provable Non-Convex Min-Max Optimization; Mingrui Liu, Rafique Hassan, Qihang Lin and Tianbao Yang.
2) Solving differential games by methods for finite-dimensional saddle-point problems; Pavel Dvurechensky, Yurii Nesterov and Vladimir Spokoiny.
3) Generalized Mirror Prox Algorithm for Variational Inequalities; Pavel Dvurechensky, Alexander Gasnikov, Fedor Stonyakin and Alexander Titov.
4) On the convergence of stochastic forward-backward-forward algorithms with variance reduction in pseudo-monotone variational inequalities; Mathias Staudigl, Radu Ioan Bot, Phan Tu Vuong and Panayotis Mertikopoulos.
5) A Variational Inequality Perspective on Generative Adversarial Networks; Gauthier Gidel, Hugo Berard, Gaëtan Vignoud, Pascal Vincent and Simon Lacoste-Julien.