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Mohamed Hebiri
Mohamed Hebiri
Adresse e-mail validée de u-pem.fr
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On the prediction performance of the lasso
AS Dalalyan, M Hebiri, J Lederer
1972017
The Smooth-Lasso and other 1+2-penalized methods
M Hebiri, S Van De Geer
1422011
How correlations influence lasso prediction
M Hebiri, J Lederer
IEEE Transactions on Information Theory 59 (3), 1846-1854, 2012
1412012
Fair regression with wasserstein barycenters
E Chzhen, C Denis, M Hebiri, L Oneto, M Pontil
Advances in Neural Information Processing Systems 33, 7321-7331, 2020
982020
Leveraging labeled and unlabeled data for consistent fair binary classification
E Chzhen, C Denis, M Hebiri, L Oneto, M Pontil
Advances in Neural Information Processing Systems 32, 2019
922019
Some theoretical results on the grouped variables Lasso
C Chesneau, M Hebiri
Mathematical Methods of Statistics 17, 317-326, 2008
782008
Fair regression via plug-in estimator and recalibration with statistical guarantees
E Chzhen, C Denis, M Hebiri, L Oneto, M Pontil
Advances in Neural Information Processing Systems 33, 19137-19148, 2020
472020
Consistency of plug-in confidence sets for classification in semi-supervised learning
C Denis, M Hebiri
Journal of Nonparametric Statistics 32 (1), 42-72, 2020
442020
Set-valued classification--overview via a unified framework
E Chzhen, C Denis, M Hebiri, T Lorieul
arXiv preprint arXiv:2102.12318, 2021
352021
Fairness guarantee in multi-class classification
C Denis, R Elie, M Hebiri, F Hu
arXiv preprint arXiv:2109.13642, 2021
332021
Confidence sets with expected sizes for multiclass classification
C Denis, M Hebiri
Journal of Machine Learning Research 18 (102), 1-28, 2017
322017
Learning heteroscedastic models by convex programming under group sparsity
A Dalalyan, M Hebiri, K Meziani, J Salmon
International Conference on Machine Learning, 379-387, 2013
322013
Regularization with the smooth-lasso procedure
M Hebiri
arXiv preprint arXiv:0803.0668, 2008
302008
Rank-penalized estimation of a quantum system
P Alquier, C Butucea, M Hebiri, K Meziani, T Morimae
Physical Review A 88 (3), 032113, 2013
272013
Regression with reject option and application to knn
A Zaoui, C Denis, M Hebiri
Advances in Neural Information Processing Systems 33, 20073-20082, 2020
202020
On lasso refitting strategies
E Chzhen, M Hebiri, J Salmon
132019
Transductive versions of the LASSO and the Dantzig Selector
P Alquier, M Hebiri
Journal of Statistical Planning and Inference 142 (9), 2485-2500, 2012
132012
Sparse conformal predictors: SCP
M Hebiri
Statistics and Computing 20, 253-266, 2010
132010
Layer sparsity in neural networks
M Hebiri, J Lederer
arXiv preprint arXiv:2006.15604, 2020
122020
Generalization of ℓ1 constraints for high dimensional regression problems
P Alquier, M Hebiri
Statistics & probability letters 81 (12), 1760-1765, 2011
122011
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