Sequential Deconfounding for Causal Inference with Unobserved Confounders

Tobias Hatt, Stefan Feuerriegel

Using observational data to estimate the effect of a treatment is a powerful tool for decision-making when randomized experiments are infeasible or costly. However, observational d…