arXiv stat.ML
· Papers
Accelerating Conformal Prediction via Approximate Leave-One-Out
arXiv:2606.31915v1 Announce Type: new Abstract: While conformal prediction provides a general framework for uncertainty quantification in predictive inference, its application is often limited by computational cost. Recent methods, including Jackknife+ and Jackknife-minmax, achieve faster computation by trading a sligh