High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding. - Hannah Marienwald; Jean-Baptiste Fermanian; Gilles Blanchard (AISTATS, 2021)

Nonasymptotic one-and two-sample tests in high dimension with unknown covariance structure. - Gilles Blanchard; Jean-Baptiste Fermanian (CoRR, 2021)

Estimation of multiple mean vectors in high dimension. - Gilles Blanchard; Jean-Baptiste Fermanian; Hannah Marienwald (CoRR, 2024)

High dimensional multiple means estimation and testing with applications to machine learning. (Test et estimation multiple de moyennes en grande dimension avec applications à l'apprentissage automatique). - Jean-Baptiste Fermanian (2024)

Transductive Conformal Inference for Ranking. - Jean-Baptiste Fermanian; Pierre Humbert; Gilles Blanchard (CoRR, 2025)

Conformal Prediction for Long-Tailed Classification. - Tiffany Ding; Jean-Baptiste Fermanian; Joseph Salmon (CoRR, 2025)

Class conditional conformal prediction for multiple inputs by p-value aggregation. - Jean-Baptiste Fermanian; Mohamed Hebiri; Joseph Salmon (CoRR, 2025)