Wasserstein of Wasserstein Loss for Learning Generative Models

Yonatan Dukler, Wuchen Li, Alex Lin, Guido Montúfar

Abstract: The Wasserstein distance serves as a loss function for unsupervised learning which depends on the choice of a ground metric on sample space. We propose to use the Wasserstein distance itself as the...