3 papers
stat.ML2024
Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference
Hengrui Cai, Huaqing Jin, Lexin Li
Estimating treatment effects from observational data is of central interest across numerous application domains. Individual treatment effect offers the most granular measure of tre…
stat.ME2024
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…
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…