2024
A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective
ICML 2024poster
Resulting from non-random sample selection caused by both the treatment and outcome, collider bias poses a unique challenge to treatment effect estimation using observational data whose distribution differs from that of the target population. In this paper, we rethink collider bias from an out-of-di…