research
∙
05/22/2023
Statistical Guarantees of Group-Invariant GANs
Group-invariant generative adversarial networks (GANs) are a type of GAN...
share
research
∙
02/03/2023
Sample Complexity of Probability Divergences under Group Symmetry
We rigorously quantify the improvement in the sample complexity of varia...
research
∙
10/31/2022
Lipschitz regularized gradient flows and latent generative particles
Lipschitz regularized f-divergences are constructed by imposing a bound ...
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
∙
07/17/2021
Model Uncertainty and Correctability for Directed Graphical Models
Probabilistic graphical models are a fundamental tool in probabilistic m...
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
∙
06/21/2019
