Perez-Lebel, Alexandre

4 publications

AISTATS 2025 Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration Alexandre Perez-Lebel, Gael Varoquaux, Sanmi Koyejo, Matthieu Doutreligne, Marine Le Morvan

TMLR 2025 Table Foundation Models: On Knowledge Pre-Training for Tabular Learning Myung Jun Kim, Félix Lefebvre, Gaëtan Brison, Alexandre Perez-Lebel, Gaël Varoquaux

ICML 2025 To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers Roman Plaud, Alexandre Perez-Lebel, Matthieu Labeau, Antoine Saillenfest, Thomas Bonald

ICLR 2023 Beyond Calibration: Estimating the Grouping Loss of Modern Neural Networks Alexandre Perez-Lebel, Marine Le Morvan, Gael Varoquaux