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.
Statistical de- cision theory with counterfactual loss
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Evaluates five methods for handling label indeterminacy in Pennsylvania bail data, including a novel imputation technique, showing they affect model predictions and internal reasoning more than model choice in some cases.
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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.
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Confronting Label Indeterminacy in Automated Bail Decisions
Evaluates five methods for handling label indeterminacy in Pennsylvania bail data, including a novel imputation technique, showing they affect model predictions and internal reasoning more than model choice in some cases.