A series on the theoretical foundations of distribution-free uncertainty quantification and conformal selection.
- Finite-Sample Validity of Distribution-Free Prediction Intervals
- Equivalence of Finite-Sample Quantile and Counting Predicates for Split Conformal Prediction
- The P-Value Interpretation of Full Conformal Prediction
- Weighted Full and Split Conformal Prediction
- Conformal Selection: Conformal P-Values and Predictive Hypothesis Testing
- Conformal Selection: Benjamini-Hochberg Procedure for False Discovery Rate Control