2022
$\beta$-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap
ICLR 2022poster
As an important problem in causal inference, we discuss the identification and estimation of treatment effects (TEs) under limited overlap; that is, when subjects with certain features belong to a single treatment group. We use a latent variable to model a prognostic score which is widely used in bi…