16 citations · 73 across the 18 of their papers we have counts for
4 papers · 1 filter
Finding Mixed Nash Equilibria of Generative Adversarial Networks
Ya-Ping Hsieh, Chen Liu, Volkan Cevher
We reconsider the training objective of Generative Adversarial Networks (GANs) from the mixed Nash Equilibria (NE) perspective. Inspired by the classical prox methods, we develop a…
Dimension-free Information Concentration via Exp-Concavity
Ya-Ping Hsieh, Volkan Cevher
Information concentration of probability measures have important implications in learning theory. Recently, it is discovered that the information content of a log-concave distribut…
Mirrored Langevin Dynamics
Ya-Ping Hsieh, Ali Kavis, Paul Rolland +1
We consider the problem of sampling from constrained distributions, which has posed significant challenges to both non-asymptotic analysis and algorithmic design. We propose a unif…
Let's be Honest: An Optimal No-Regret Framework for Zero-Sum Games
Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin +1
We revisit the problem of solving two-player zero-sum games in the decentralized setting. We propose a simple algorithmic framework that simultaneously achieves the best rates for…