Suivre
Erwan Scornet
Erwan Scornet
Maître de conférence, Ecole Polytechnique
Adresse e-mail validée de polytechnique.edu
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Année
A random forest guided tour
G Biau, E Scornet
Test 25, 197-227, 2016
29412016
Consistency of random forests
E Scornet, G Biau, JP Vert
6272015
Random forests and kernel methods
E Scornet
IEEE Transactions on Information Theory 62 (3), 1485-1500, 2016
2652016
Tuning parameters in random forests
E Scornet
ESAIM: Proceedings and Surveys 60, 144-162, 2017
1562017
Neural random forests
G Biau, E Scornet, J Welbl
Sankhya A 81 (2), 347-386, 2019
1302019
Prediction of human population responses to toxic compounds by a collaborative competition
F Eduati, LM Mangravite, T Wang, H Tang, JC Bare, R Huang, T Norman, ...
Nature biotechnology 33 (9), 933-940, 2015
1192015
On the asymptotics of random forests
E Scornet
Journal of Multivariate Analysis 146, 72-83, 2016
1142016
On the consistency of supervised learning with missing values
J Josse, N Prost, E Scornet, G Varoquaux
arXiv preprint arXiv:1902.06931, 2019
1132019
Trees, forests, and impurity-based variable importance in regression
E Scornet
Annales de l'Institut Henri Poincare (B) Probabilites et statistiques 59 (1 …, 2023
872023
Interpretable random forests via rule extraction
C Bénard, G Biau, S Da Veiga, E Scornet
International Conference on Artificial Intelligence and Statistics, 937-945, 2021
742021
Mean decrease accuracy for random forests: inconsistency, and a practical solution via the Sobol-MDA
C Bénard, S Da Veiga, E Scornet
Biometrika 109 (4), 881-900, 2022
552022
What’sa good imputation to predict with missing values?
M Le Morvan, J Josse, E Scornet, G Varoquaux
Advances in Neural Information Processing Systems 34, 11530-11540, 2021
522021
Sirus: Stable and interpretable rule set for classification
C Bénard, G Biau, S Da Veiga, E Scornet
502021
Minimax optimal rates for Mondrian trees and forests
J Mourtada, S Gaïffas, E Scornet
472020
NeuMiss networks: differentiable programming for supervised learning with missing values.
M Le Morvan, J Josse, T Moreau, E Scornet, G Varoquaux
Advances in Neural Information Processing Systems 33, 5980-5990, 2020
422020
Impact of subsampling and tree depth on random forests
R Duroux, E Scornet
ESAIM: Probability and Statistics 22, 96-128, 2018
422018
Linear predictor on linearly-generated data with missing values: non consistency and solutions
M Le Morvan, N Prost, J Josse, E Scornet, G Varoquaux
International Conference on Artificial Intelligence and Statistics, 3165-3174, 2020
292020
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests
C Bénard, G Biau, S Da Veiga, E Scornet
International Conference on Artificial Intelligence and Statistics, 5563-5582, 2022
282022
Rejoinder on: A random forest guided tour
G Biau, E Scornet
Test 25, 264-268, 2016
252016
Impact of subsampling and pruning on random forests
R Duroux, E Scornet
arXiv preprint arXiv:1603.04261, 2016
222016
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