3 papers
math.ST2026
Tessellation Localized Transfer learning for nonparametric regression
Hélène Halconruy, Benjamin Bobbia, Paul Lejamtel
Transfer learning aims to improve performance on a target task by leveraging information from related source tasks. We propose a nonparametric regression transfer learning framewor…
stat.ME2025
Variance-reduced extreme value index estimators using control variates in a semi-supervised setting
Louison Bocquet-Nouaille, Jérôme Morio, Benjamin Bobbia
The estimation of the Extreme Value Index (EVI) is fundamental in extreme value analysis but suffers from high variance due to reliance on only a few extreme observations. We propo…
stat.ML2025
Do you understand epistemic uncertainty? Think again! Rigorous frequentist epistemic uncertainty estimation in regression
Enrico Foglia, Benjamin Bobbia, Nikita Durasov +4
Quantifying model uncertainty is critical for understanding prediction reliability, yet distinguishing between aleatoric and epistemic uncertainty remains challenging. We extend re…