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math.ST2025
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…
stat.ML2025
On Volume Minimization in Conformal Regression
Batiste Le Bars, Pierre Humbert
We study the question of volume optimality in split conformal regression, a topic still poorly understood in comparison to coverage control. Using the fact that the calibration ste…
cs.LG2025
Transductive Conformal Inference for Full Ranking
Jean-Baptiste Fermanian, Pierre Humbert, Gilles Blanchard
We introduce a method based on Conformal Prediction (CP) to quantify the uncertainty of full ranking algorithms. We focus on a specific scenario where items are to be ranked…