17 citations · 71 across the 33 of their papers we have counts for
7 papers · 1 filter
On Efficient Inference of Causal Effects with Multiple Mediators
Haoyu Wei, Hengrui Cai, Chengchun Shi +1
This paper provides robust estimators and efficient inference of causal effects involving multiple interacting mediators. Most existing works either impose a linear model assumptio…
Off-policy Evaluation in Doubly Inhomogeneous Environments
Zeyu Bian, Chengchun Shi, Zhengling Qi +1
This work aims to study off-policy evaluation (OPE) under scenarios where two key reinforcement learning (RL) assumptions -- temporal stationarity and individual homogeneity are bo…
Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing
Ting Li, Chengchun Shi, Zhaohua Lu +2
Many modern tech companies, such as Google, Uber, and Didi, utilize online experiments (also known as A/B testing) to evaluate new policies against existing ones. While most studie…
Sure Screening for Transelliptical Graphical Models
Yuxiang Xie, Chengchun Shi, Rui Song
We propose a sure screening approach for recovering the structure of a transelliptical graphical model in the high dimensional setting. We estimate the partial correlation graph by…
An Online Sequential Test for Qualitative Treatment Effects
Chengchun Shi, Shikai Luo, Hongtu Zhu +1
Tech companies (e.g., Google or Facebook) often use randomized online experiments and/or A/B testing primarily based on the average treatment effects to compare their new product w…
Jump Interval-Learning for Individualized Decision Making
Hengrui Cai, Chengchun Shi, Rui Song +1
An individualized decision rule (IDR) is a decision function that assigns each individual a given treatment based on his/her observed characteristics. Most of the existing works in…
Testing Mediation Effects Using Logic of Boolean Matrices
Chengchun Shi, Lexin Li
Mediation analysis is becoming an increasingly important tool in scientific studies. A central question in high-dimensional mediation analysis is to infer the significance of indiv…