SP-CCI augments conformal calibration sets with synthetic counterfactual labels and uses RCPS with PPI debiasing to achieve tighter prediction intervals while preserving marginal coverage guarantees.
Deep structural causal models for tractable counterfactual inference.Advances in neural information processing systems, 33:857– 869, 2020
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Synthetic Counterfactual Labels for Efficient Conformal Counterfactual Inference
SP-CCI augments conformal calibration sets with synthetic counterfactual labels and uses RCPS with PPI debiasing to achieve tighter prediction intervals while preserving marginal coverage guarantees.