Self-Consistent Conformal Prediction for Reliable and Adaptive Uncertainty Quantification

Self-Consistent Conformal Prediction (SC-CP) combines Venn-Abers calibration and conformal prediction to provide calibrated point predictions and compatible prediction intervals that are valid conditional on the model's predictions.