Causal Inference Optimization with Propensity Uncertainty: A Distribution Adaptation Approach

This research explores a crucial area of causal inference by addressing uncertainty in propensity scores. The approach of using distribution adaptation offers a promising direction for improving the estimation of treatment effects.