arXiv AI By Sylvain Rousseau (Heudiasyc), Soundouss Messoudi (Heudiasyc)

Scaling-Score Conformal Prediction for Multi-Target Regression

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arXiv Machine Learning
Aug 7

Beyond Marginal Validity: Finite-Sample Guarantees for Localized Conformal Prediction

arXiv:2608. 06206v1 Announce Type: cross Abstract: Conformal prediction endows arbitrary black-box predictors with finite-sample, distribution-free marginal coverage, yet marginal validity can hide severe covariate-specific miscalibration, while exact distribution-free conditional coverage is finite-sample unattainable.

By Anton Conrad, Rustam Isaev, Denis Belomestny, Eric Moulines, Sergey Samsonov
arXiv Machine Learning
Jul 1

Conformalized Regression for Continuous Bounded Outcomes

arXiv:2507. 14023v2 Announce Type: replace-cross Abstract: Regression problems with bounded continuous outcomes frequently arise in statistical and machine learning applications, such as the analysis of rates and proportions.

By Zhanli Wu, Fabrizio Leisen, F. Javier Rubio
arXiv Machine Learning
Jun 3

Set-Preserving Calibration from Conformal P-Values to E-Values

arXiv:2606. 03600v1 Announce Type: cross Abstract: Standard conformal prediction (CP) procedures are typically formulated in terms of p-values, but reliance on p-values alone limits flexibility, for example, when combining dependent evidence across models or data splits.

By Nabil Alami, Jad Zakharia, Souhaib Ben Taieb