Mohamed Hebiri
Mohamed Hebiri
Verified email at u-pem.fr
Title
Cited by
Cited by
Year
On the prediction performance of the lasso
AS Dalalyan, M Hebiri, J Lederer
Bernoulli 23 (1), 552-581, 2017
1442017
The Smooth-Lasso and other ℓ1+ ℓ2-penalized methods
M Hebiri, S Van De Geer
Electronic Journal of Statistics 5, 1184-1226, 2011
1212011
How correlations influence lasso prediction
M Hebiri, J Lederer
IEEE Transactions on Information Theory 59 (3), 1846-1854, 2012
1122012
Some theoretical results on the grouped variables Lasso
C Chesneau, M Hebiri
Mathematical Methods of Statistics 17 (4), 317-326, 2008
712008
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
282013
Regularization with the smooth-lasso procedure
M Hebiri
arXiv preprint arXiv:0803.0668, 2008
262008
Rank-penalized estimation of a quantum system
P Alquier, C Butucea, M Hebiri, K Meziani, T Morimae
Physical Review A 88 (3), 032113, 2013
222013
Consistency of plug-in confidence sets for classification in semi-supervised learning
C Denis, M Hebiri
arXiv preprint arXiv:1507.07235, 2015
21*2015
Leveraging labeled and unlabeled data for consistent fair binary classification
E Chzhen, C Denis, M Hebiri, L Oneto, M Pontil
arXiv preprint arXiv:1906.05082, 2019
172019
Confidence sets with expected sizes for multiclass classification
C Denis, M Hebiri
The Journal of Machine Learning Research 18 (1), 3571-3598, 2017
162017
Fair regression via plug-in estimator and recalibration with statistical guarantees
E Chzhen, C Denis, M Hebiri, L Oneto, M Pontil
NeurIPS 2020-34th Conference on Neural Information Processing Systems, 2020
122020
Fair regression with wasserstein barycenters
E Chzhen, C Denis, M Hebiri, L Oneto, M Pontil
arXiv preprint arXiv:2006.07286, 2020
112020
Generalization of ℓ1 constraints for high dimensional regression problems
P Alquier, M Hebiri
Statistics & probability letters 81 (12), 1760-1765, 2011
112011
Sparse conformal predictors
M Hebiri
Statistics and Computing 20 (2), 253-266, 2010
112010
Transductive versions of the LASSO and the Dantzig Selector
P Alquier, M Hebiri
Journal of Statistical Planning and Inference 142 (9), 2485-2500, 2012
102012
On lasso refitting strategies
E Chzhen, M Hebiri, J Salmon
Bernoulli 25 (4A), 3175-3200, 2019
82019
Quelques questions de sélection de variables autour de l'estimateur LASSO
M Hebiri
Université Paris-Diderot-Paris VII, 2009
82009
Minimax semi-supervised confidence sets for multi-class classification
E Chzhen, C Denis, M Hebiri
arXiv preprint arXiv:1904.12527, 2019
72019
Layer sparsity in neural networks
M Hebiri, J Lederer
arXiv preprint arXiv:2006.15604, 2020
62020
On the benefits of output sparsity for multi-label classification
E Chzhen, C Denis, M Hebiri, J Salmon
arXiv preprint arXiv:1703.04697, 2017
62017
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