| Slope meets lasso: improved oracle bounds and optimality PC Bellec, G Lecué, AB Tsybakov Annals of Statistics 46 (6B), 3603-3642, 2018 | 120 | 2018 |
| Interactions between compressed sensing random matrices and high dimensional geometry D Chafaï, O Guédon, G Lecué, A Pajor Société Mathématique de France, 2012 | 94 | 2012 |
| Regularization and the small-ball method i: sparse recovery G Lecué, S Mendelson The Annals of Statistics 46 (2), 611-641, 2018 | 72 | 2018 |
| Learning subgaussian classes: Upper and minimax bounds G Lecué, S Mendelson arXiv preprint arXiv:1305.4825, 2013 | 64 | 2013 |
| On the gap between restricted isometry properties and sparse recovery conditions S Dirksen, G Lecué, H Rauhut IEEE Transactions on Information Theory 64 (8), 5478-5487, 2016 | 63* | 2016 |
| Robust machine learning by median-of-means: theory and practice G Lecué, M Lerasle Annals of Statistics 48 (2), 906-931, 2020 | 58 | 2020 |
| Selection of variables and dimension reduction in high-dimensional non-parametric regression K Bertin, G Lecué Electronic Journal of Statistics 2, 1224-1241, 2008 | 54 | 2008 |
| Optimal rates of aggregation in classification under low noise assumption G Lecué Bernoulli 13 (4), 1000-1022, 2007 | 52 | 2007 |
| Sparse recovery under weak moment assumptions G Lecué, S Mendelson arXiv preprint arXiv:1401.2188, 2014 | 51 | 2014 |
| Aggregation via empirical risk minimization G Lecué, S Mendelson Probability theory and related fields 145 (3-4), 591-613, 2009 | 48 | 2009 |
| Simultaneous adaptation to the margin and to complexity in classification G Lecué The Annals of Statistics 35 (4), 1698-1721, 2007 | 44 | 2007 |
| Sparse recovery under weak moment assumptions G Lecué, S Mendelson Journal of the European Mathematical Society 19 (3), 881-904, 2017 | 42 | 2017 |
| Optimal rates and adaptation in the single-index model using aggregation S Gaïffas, G Lecué Electronic journal of statistics 1, 538-573, 2007 | 41 | 2007 |
| Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions P Alquier, V Cottet, G Lecué Annals of Statistics 47 (4), 2117-2144, 2019 | 35 | 2019 |
| Robust classification via mom minimization G Lecué, M Lerasle, T Mathieu Machine Learning 109 (8), 1635-1665, 2020 | 34 | 2020 |
| Sharp oracle inequalities for high-dimensional matrix prediction S Gaïffas, G Lecué IEEE transactions on information theory 57 (10), 6942-6957, 2011 | 33 | 2011 |
| Regularization and the small-ball method II: complexity dependent error rates G Lecué, S Mendelson The Journal of Machine Learning Research 18 (1), 5356-5403, 2017 | 30 | 2017 |
| Performance of empirical risk minimization in linear aggregation G Lecué, S Mendelson Bernoulli 22 (3), 1520-1534, 2016 | 28 | 2016 |
| Oracle inequalities for cross-validation type procedures G Lecué, C Mitchell Electronic Journal of Statistics 6, 1803-1837, 2012 | 28 | 2012 |
| Optimal learning with Q-aggregation G Lecué, P Rigollet Annals of Statistics 42 (1), 211-224, 2014 | 26 | 2014 |
Djalil CHAFAICEREMADE / Université Paris-Dauphine / PSLVerified email at chafai.net
