Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding
arXiv:2604.03772v1 Announce Type: new
Abstract: Data-driven decision making frequently relies on predicting counterfactual outcomes. In practice, researchers commonly train counterfactual prediction models on a source dataset to inform decisions on a …