2026
Stochastic Neural Networks for Causal Inference with Missing Confounders
ICLR 2026poster
One of the major challenges in causal inference with observational data is handling missing confounders. Latent variable modeling offers a valid framework to address this challenge, but existing approaches within this framework often suffer from consistency issues in causal effect estimation and are…