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Counterfactual Generation via Flow Matching: Coupling-Sensitive End-to-End Rates
Counterfactual generation seeks to sample outcomes under a hypothetical intervention or decision using observational data collected under the factual assignment mechanism. We develop a flow-matching approach that combines a sample-split, doubly robust training objective with a learned coupling betwe
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