Biau, Gérard

19 publications

ICLR 2025 Attention Layers Provably Solve Single-Location Regression Pierre Marion, Raphaël Berthier, Gérard Biau, Claire Boyer
JMLR 2025 Physics-Informed Kernel Learning Nathan Doumèche, Francis Bach, Gérard Biau, Claire Boyer
JMLR 2025 Scaling ResNets in the Large-Depth Regime Pierre Marion, Adeline Fermanian, Gérard Biau, Jean-Philippe Vert
COLT 2025 Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization Yu-Han Wu, Pierre Marion, Gérard Biau, Claire Boyer
ICLR 2024 Implicit Regularization of Deep Residual Networks Towards Neural ODEs Pierre Marion, Yu-Han Wu, Michael Eli Sander, Gérard Biau
COLT 2024 Physics-Informed Machine Learning as a Kernel Method Nathan Doumèche, Francis Bach, Gérard Biau, Claire Boyer
AISTATS 2022 SHAFF: Fast and Consistent SHApley eFfect Estimates via Random Forests Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet
AISTATS 2021 Approximating Lipschitz Continuous Functions with GroupSort Neural Networks Ugo Tanielian, Gerard Biau
AISTATS 2021 Interpretable Random Forests via Rule Extraction Clément Bénard, Gérard Biau, Sébastien Veiga, Erwan Scornet
AISTATS 2021 Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects Qiming Du, Gérard Biau, Francois Petit, Raphaël Porcher
NeurIPS 2021 Framing RNN as a Kernel Method: A Neural ODE Approach Adeline Fermanian, Pierre Marion, Jean-Philippe Vert, Gérard Biau
JMLR 2021 Some Theoretical Insights into Wasserstein GANs Gérard Biau, Maxime Sangnier, Ugo Tanielian
MLJ 2019 Accelerated Gradient Boosting Gérard Biau, Benoît Cadre, Laurent Rouvìère
JMLR 2016 The Statistical Performance of Collaborative Inference Gérard Biau, Kevin Bleakley, Benoît Cadre
ALT 2014 Cellular Tree Classifiers Gérard Biau, Luc Devroye
JMLR 2013 Sparse Single-Index Model Pierre Alquier, Gérard Biau
JMLR 2012 Analysis of a Random Forests Model Gérard Biau
JMLR 2010 On the Rate of Convergence of the Bagged Nearest Neighbor Estimate Gérard Biau, Frédéric Cérou, Arnaud Guyader
JMLR 2008 Consistency of Random Forests and Other Averaging Classifiers Gérard Biau, Luc Devroye, Gábor Lugosi