Alexandre Perez-Lebel

12 papers A* 2A 1Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A conf
Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration.
AISTATS
Alexandre Perez-Lebel, Gaël Varoquaux, Sanmi Koyejo, Matthieu Doutreligne, Marine Le Morvan
2025 J jnl
Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration.
CoRR
Alexandre Perez-Lebel, Gaël Varoquaux, Sanmi Koyejo, Matthieu Doutreligne, Marine Le Morvan
2025 J jnl
Table Foundation Models: on knowledge pre-training for tabular learning.
CoRR
Myung Jun Kim, Félix Lefebvre, Gaëtan Brison, Alexandre Perez-Lebel, Gaël Varoquaux
2025 J jnl
Table Foundation Models: on knowledge pre-training for tabular learning.
Trans. Mach. Learn. Res.
Myung Jun Kim, Félix Lefebvre, Gaëtan Brison, Alexandre Perez-Lebel, Gaël Varoquaux
2025 A* conf
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers.
ICML
Roman Plaud, Alexandre Perez-Lebel, Matthieu Labeau, Antoine Saillenfest, Thomas Bonald
2025 J jnl
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers.
CoRR
Roman Plaud, Alexandre Perez-Lebel, Matthieu Labeau, Antoine Saillenfest, Thomas Bonald
2024 — —
Evaluation of probabilistic classifiers and impact on decision-making. (Évaluation de classifieurs probabilistes et impact sur la décision).
Alexandre Perez-Lebel
2024 — conf
Reconfidencing LLMs from the Grouping Loss Perspective.
EMNLP (Findings)
Lihu Chen, Alexandre Perez-Lebel, Fabian M. Suchanek, Gaël Varoquaux
2024 J jnl
Reconfidencing LLMs from the Grouping Loss Perspective.
CoRR
Lihu Chen, Alexandre Perez-Lebel, Fabian M. Suchanek, Gaël Varoquaux
2023 A* conf
Beyond calibration: estimating the grouping loss of modern neural networks.
ICLR
Alexandre Perez-Lebel, Marine Le Morvan, Gaël Varoquaux
2022 J jnl
Benchmarking missing-values approaches for predictive models on health databases.
CoRR
Alexandre Perez-Lebel, Gaël Varoquaux, Marine Le Morvan, Julie Josse, Jean-Baptiste Poline
2022 J jnl
Beyond calibration: estimating the grouping loss of modern neural networks.
CoRR
Alexandre Perez-Lebel, Marine Le Morvan, Gaël Varoquaux