3 citations · 3 across the 5 of their papers we have counts for
5 papers
Online selective conformal inference: adaptive scores, convergence rates and optimality
Pierre Humbert, Ulysse Gazin, Ruth Heller +1
In a supervised online setting, quantifying uncertainty has been proposed in the seminal work of Gibbs and Candès (2021). For any given point-prediction algorithm, their method (AC…
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…
Asymptotics for conformal inference
Ulysse Gazin
Conformal inference is a versatile tool for building prediction sets in regression or classification. We study the false coverage proportion (FCP) in a simultaneous inference setti…
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…
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…