Chapter

Distilling the Knowledge in Diffusion Models

Jan 1, 2023

CM-GAN: Stabilizing GAN Training with Consistency Models

Jan 1, 2023

A Unifying Framework for Federated Learning

Jan 1, 2023

Conditional Generative Quantile Networks via Optimal Transport

Jan 1, 2022

Newton-type Methods for Minimax Optimization

Jan 1, 2021

Early Exiting BERT for Efficient Document Ranking

Jan 1, 2020

Density Deconvolution with Normalizing Flows

Jan 1, 2020

Understanding Adversarial Robustness: The Trade-off between Minimum and Average Margin

Jan 1, 2019

Online Learning and Optimization

Jan 1, 2015

Online TD(1) Meets Offline Monte Carlo

Jan 1, 2009

A Conditional Value-at-Risk Approach for Uncertain Markov Decision Processes

Jan 1, 2009