A debiased ML method yields valid conformal prediction intervals for counterfactual outcomes under runtime confounding via semiparametric efficiency theory.
Notably, source population membership is influenced byV, generating covariate shift between the source and target populations.AandY(a)are both influenced byVandU
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Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding
A debiased ML method yields valid conformal prediction intervals for counterfactual outcomes under runtime confounding via semiparametric efficiency theory.