Stochastic Neural Networks for Causal Inference with Missing Confounders

Yaxin Fang, Faming Liang

Unmeasured confounding is a fundamental obstacle to causal inference from observational data. Latent-variable methods address this challenge by imputing unobserved confounders, yet…