We introduce the ARMOR_D methods as novel approaches to enhancing the
ad...
We propose a new family of regularized Rényi divergences parametrized no...
Generative adversarial networks (GANs), a class of distribution-learning...
We develop a general framework for constructing new information-theoreti...
We derive a new variational formula for the Rényi family of divergences,...
Variational representations of distances and divergences between
high-di...
Variational-principle-based methods that relate expectations of a quanti...