15 citations · 16 across the 4 of their papers we have counts for
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stat.ML2023
Heterogeneous Synthetic Learner for Panel Data
Ye Shen, Runzhe Wan, Hengrui Cai +1
In the new era of personalization, learning the heterogeneous treatment effect (HTE) becomes an inevitable trend with numerous applications. Yet, most existing HTE estimation metho…
stat.ML2022
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process
Chengchun Shi, Jin Zhu, Ye Shen +3
This paper is concerned with constructing a confidence interval for a target policy's value offline based on a pre-collected observational data in infinite horizon settings. Most o…
stat.ML2021★ 1 cited
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
Ye Shen, Hengrui Cai, Rui Song
Evaluating the performance of an ongoing policy plays a vital role in many areas such as medicine and economics, to provide crucial instructions on the early-stop of the online exp…