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Reweighting the RCT for generalization: finite sample error and variable selection
Bénédicte Colnet
,
Julie Josse
,
Gaël Varoquaux
,
Erwan Scornet
2022
Pré-publication, Document de travail
hal-03822662v2
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Analyzing the tree-layer structure of Deep Forests
Ludovic Arnould
,
Claire Boyer
,
Erwan Scornet
,
Sorbonne Lpsm
International Conference on Machine Learning (ICML), Jul 2021, online, France
Communication dans un congrès
hal-02974199v4
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A random forest guided tour (with comments and a rejoinder by the authors)
Gérard Biau
,
Erwan Scornet
Test, 2016, 25, pp.197-227
Article dans une revue
hal-01361796v1
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Theoretical and experimental study of SMOTE: limitations and comparisons of rebalancing strategies
Abdoulaye Sakho
,
Erwan Scornet
,
Emmanuel Malherbe
2024
Pré-publication, Document de travail
hal-04438941v1
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Random features models: a way to study the success of naive imputation
Alexis Ayme
,
Claire Boyer
,
Aymeric Dieuleveut
,
Erwan Scornet
2024
Pré-publication, Document de travail
hal-04440304v1
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Minimax optimal rates for Mondrian trees and forests
Jaouad Mourtada
,
Stéphane Gaïffas
,
Erwan Scornet
Article dans une revue
hal-02976286v1
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A random forest guided tour
Gérard Biau
,
Erwan Scornet
Article dans une revue
hal-01307105v1
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AMF: Aggregated Mondrian Forests for Online Learning
Jaouad Mourtada
,
Stéphane Gaïffas
,
Erwan Scornet
2020
Pré-publication, Document de travail
hal-02976420v1
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Interpretable Random Forests via Rule Extraction
Clément Bénard
,
Gérard Biau
,
Sébastien da Veiga
,
Erwan Scornet
Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, 130, pp.937-945, 2021
Proceedings/Recueil des communications
hal-02557113v4
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SIRUS: Stable and Interpretable RUle Set for Classification
Clément Bénard
,
Gérard Biau
,
Sébastien da Veiga
,
Erwan Scornet
Electronic Journal of Statistics , 2021, 15, pp.427 - 505
Article dans une revue
hal-02190689v4
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On the asymptotics of random forests
Erwan Scornet
2014
Pré-publication, Document de travail
hal-01061506v1
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MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA
Clément Bénard
,
Sébastien da Veiga
,
Erwan Scornet
Biometrika, 2022, 109, pp.881-900
Article dans une revue
hal-03151611v3
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Random Forests and Kernel Methods
Erwan Scornet
Article dans une revue
hal-01255002v1
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Neural Random Forests
Gérard Biau
,
Erwan Scornet
,
Johannes Welbl
Sankhya A, 2019
Article dans une revue
hal-01306340v2
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Linear predictor on linearly-generated data with missing values: non consistency and solutions
Marine Le Morvan
,
Nicolas Prost
,
Julie Josse
,
Erwan Scornet
,
Gaël Varoquaux
AISTATS 2020 - International Conference on Artificial Intelligence and Statistics, Aug 2020, Online, France. pp.3165-3174
Communication dans un congrès
hal-02464569v2
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