2026
Adjusting Prediction Model Through Wasserstein Geodesic for Causal Inference
ICLR 2026poster
Causal inference estimates the treatment effect by comparing the potential outcomes of the treated and control groups. Due to the existence of confounders, the distributions of treated and control groups are imbalanced, resulting in limited generalization ability of the outcome prediction model, \ie…