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stat.ME2024
Powerful batch conformal prediction for classification
Ulysse Gazin, Ruth Heller, Etienne Roquain +1
In a split conformal framework with classes, a calibration sample of labeled examples is observed for inference on the label of a new unlabeled example. We explore the sett…
stat.ME2023
Transductive conformal inference with adaptive scores
Ulysse Gazin, Gilles Blanchard, Etienne Roquain
Conformal inference is a fundamental and versatile tool that provides distribution-free guarantees for many machine learning tasks. We consider the transductive setting, where deci…