25 citations · 28 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Elucidating the Design Space of Regression-based Diffusion Reinforcement Learning
Toyota Li, David Zhao, Alan Zhao
A nascent family of methods that forgoes the policy gradient and reweights a supervised regression instead has garnered momentum in reinforcement learning for diffusion and flow mo…
stat.ML2021★ 3 cited
MD-split+: Practical Local Conformal Inference in High Dimensions
Benjamin LeRoy, David Zhao
Quantifying uncertainty in model predictions is a common goal for practitioners seeking more than just point predictions. One tool for uncertainty quantification that requires mini…
cs.NI2019★ 25 cited
Reinforcement learning for bandwidth estimation and congestion control in real-time communications
Joyce Fang, Martin Ellis, Bin Li +11
Bandwidth estimation and congestion control for real-time communications (i.e., audio and video conferencing) remains a difficult problem, despite many years of research. Achieving…