Ambiguity set and learning via Bregman and Wasserstein

no code implementations • 23 May 2017 • Xin Guo, Johnny Hong, Nan Yang

Construction of ambiguity set in robust optimization relies on the choice of divergences between probability distributions.

BIG-bench Machine Learning

Relaxed Wasserstein with Applications to GANs

no code implementations • 19 May 2017 • Xin Guo, Johnny Hong, Tianyi Lin, Nan Yang

Wasserstein Generative Adversarial Networks (WGANs) provide a versatile class of models, which have attracted great attention in various applications.

Image Generation