Causal Inference Optimization with Propensity Uncertainty: A Distribution Adaptation Approach
Published:Dec 19, 2025 21:40
•1 min read
•ArXiv
Analysis
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.
Key Takeaways
Reference
“The research focuses on optimizing Average Treatment Effect (ATE) risk under Propensity Uncertainty.”