Showing 2024Show all
3 papers · 1 filter
stat.ML2024
Optimal Adaptive Experimental Design for Estimating Treatment Effect
Jiachun Li, David Simchi-Levi, Yunxiao Zhao
Given n experiment subjects with potentially heterogeneous covariates and two possible treatments, namely active treatment and control, this paper addresses the fundamental questio…
stat.ML2024
On the Optimal Regret of Locally Private Linear Contextual Bandit
Jiachun Li, David Simchi-Levi, Yining Wang
Contextual bandit with linear reward functions is among one of the most extensively studied models in bandit and online learning research. Recently, there has been increasing inter…
stat.ME2024
Privacy Preserving Adaptive Experiment Design
Jiachun Li, Kaining Shi, David Simchi-Levi
Adaptive experiment is widely adopted to estimate conditional average treatment effect (CATE) in clinical trials and many other scenarios. While the primary goal in experiment is t…