4 papers
Selecting Informative Conformal Prediction Sets with an Optimized FCR-Controlled Approach
Israela Solomon, Etienne Roquain, Saharon Rosset +1
Conformal methods provide prediction sets for outcomes with confidence guarantees. We study their use in a selective inference setting, where inference is performed only when the p…
Online selective conformal inference: adaptive scores, convergence rate and optimality
Pierre Humbert, Ulysse Gazin, Ruth Heller +1
In a supervised online setting, quantifying uncertainty has been proposed in the seminal work of \cite{gibbs2021adaptive}. For any given point-prediction algorithm, their method (A…
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…
Selecting informative conformal prediction sets with false coverage rate control
Ulysse Gazin, Ruth Heller, Ariane Marandon +1
In supervised learning, including regression and classification, conformal methods provide prediction sets for the outcome/label with finite sample coverage for any machine learnin…