Mansi Sood

Causal Inference with Unobserved Confounding: A Mixture Learning Perspective

Unobserved confounding is a fundamental challenge in causal inference from observational data. This article develops a mixture-learning perspective, viewing latent confounders as sources of heterogeneity that induce mixture structure in observed data. Under suitable structural and identifiability assumptions, recoverin...