An-Peng Wu

Heterogeneous Treatment Effect Estimation with Distribution Shift and Unmeasured Confounding

Heterogeneous treatment effect (HTE) estimation is vital for understanding how treatment effects vary across individuals or subgroups. Recently, numerous HTE models, such as balancing methods and instrumental variable (IV) methods, have been developed to eliminate confounding bias from both observed variables and unmea...