research
∙
09/07/2023
Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences
We introduce the ARMOR_D methods as novel approaches to enhancing the ad...
share
research
∙
10/10/2022
Function-space regularized Rényi divergences
We propose a new family of regularized Rényi divergences parametrized no...
research
∙
02/02/2022
Structure-preserving GANs
Generative adversarial networks (GANs), a class of distribution-learning...
research
∙
11/11/2020
(f,Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics
We develop a general framework for constructing new information-theoreti...
research
∙
07/07/2020
A Variational Formula for Rényi Divergences
We derive a new variational formula for the Rényi family of divergences,...
research
∙
06/15/2020
Optimizing variational representations of divergences and accelerating their statistical estimation
Variational representations of distances and divergences between high-di...
research
∙
06/21/2019
