A joint finite-sample certificate for adaptive selective conformal risk control that treats selected risk as a ratio and couples empirical-Bernstein, Clopper-Pearson, and closeness bounds.
Semi-supervised risk control via prediction-powered inference
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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.
A cross-validated prediction-powered calibration technique that fine-tunes predictors and estimates synthetic label bias to produce prediction sets with coverage guarantees for wireless indoor localization using scarce calibration data.
citing papers explorer
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A Joint Finite-Sample Certificate for Adaptive Selective Conformal Risk Control
A joint finite-sample certificate for adaptive selective conformal risk control that treats selected risk as a ratio and couples empirical-Bernstein, Clopper-Pearson, and closeness bounds.
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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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Reliable Wireless Indoor Localization via Cross-Validated Prediction-Powered Calibration
A cross-validated prediction-powered calibration technique that fine-tunes predictors and estimates synthetic label bias to produce prediction sets with coverage guarantees for wireless indoor localization using scarce calibration data.