AI RESEARCH
Synthetic Counterfactual Labels for Efficient Conformal Counterfactual Inference
arXiv CS.LG
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ArXi:2509.04112v3 Announce Type: replace This work addresses the problem of constructing reliable prediction intervals for individual counterfactual outcomes. Existing conformal counterfactual inference (CCI) methods provide marginal coverage guarantees but often produce overly conservative intervals, particularly under treatment imbalance when counterfactual samples are scarce. We