2019
Wasserstein of Wasserstein Loss for Learning Generative Models
ICML 2019oral
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 ground metric on the sample space of images. This ground metric is known as an effective distance for…