Gérard Biau
17 papers · 2008–2025 · 5 venues · across top CS/AI venues
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random forest
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partial differential equation
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message passing
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high-dimensional regression
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piecewise linear function
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Papers
Attention layers provably solve single-location regression
ICLR 2025
Physics-informed Kernel Learning
JMLR 2025
Scaling ResNets in the Large-depth Regime
JMLR 2025
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization
COLT 2025
Implicit regularization of deep residual networks towards neural ODEs
ICLR 2024
Physics-informed machine learning as a kernel method
COLT 2024
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests
AISTATS 2022
Approximating Lipschitz continuous functions with GroupSort neural networks
AISTATS 2021
Framing RNN as a kernel method: A neural ODE approach
NeurIPS 2021
Interpretable Random Forests via Rule Extraction
AISTATS 2021
Some Theoretical Insights into Wasserstein GANs
JMLR 2021
Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects
AISTATS 2021
The Statistical Performance of Collaborative Inference
JMLR 2016
Sparse Single-Index Model
JMLR 2013
Analysis of a Random Forests Model
JMLR 2012
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate
JMLR 2010
Consistency of Random Forests and Other Averaging Classifiers
JMLR 2008