Causal inference

Science of making causal statements from observational data

Create a causal graph to make the causal structure explicit

Structural causal models includes terms for the unobserved variables

deconfounder algorithm (Wang and Blei 2019) does not require we observe all confounders

• key idea is to estimate substitute confounders and use it for causal inference
• empirical studies are provided at https://github.com/blei-lab/deconfounder_public