| Slope meets lasso: improved oracle bounds and optimality PC Bellec, G Lecué, AB Tsybakov The Annals of Statistics 46 (6B), 3603-3642, 2018 | 205 | 2018 |
| Robust machine learning by median-of-means: theory and practice G Lecué, M Lerasle | 178 | 2020 |
| Interactions between compressed sensing random matrices and high dimensional geometry D Chafaï, O Guédon, G Lecué, A Pajor Société Mathématique de France, 2012 | 119 | 2012 |
| Regularization and the small-ball method i: sparse recovery G Lecué, S Mendelson The Annals of Statistics 46 (2), 611-641, 2018 | 103 | 2018 |
| Learning subgaussian classes: Upper and minimax bounds G Lecué, S Mendelson arXiv preprint arXiv:1305.4825, 2013 | 97 | 2013 |
| Robust sub-Gaussian estimation of a mean vector in nearly linear time J Depersin, G Lecué The Annals of Statistics 50 (1), 511-536, 2022 | 91 | 2022 |
| Sparse recovery under weak moment assumptions G Lecué, S Mendelson Journal of the European Mathematical Society 19 (3), 881-904, 2017 | 75 | 2017 |
| Aggregation via empirical risk minimization G Lecué, S Mendelson Probability theory and related fields 145 (3), 591-613, 2009 | 68 | 2009 |
| Robust classification via MOM minimization G Lecué, M Lerasle, T Mathieu Machine learning 109, 1635-1665, 2020 | 66 | 2020 |
| Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions P Alquier, V Cottet, G Lecué | 66 | 2019 |
| 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 | 66 | 2016 |
| Optimal rates of aggregation in classification under low noise assumption G Lecué | 63 | 2007 |
| Selection of variables and dimension reduction in high-dimensional non-parametric regression K Bertin, G Lecué | 60 | 2008 |
| Optimal rates and adaptation in the single-index model using aggregation S Gaïffas, G Lecué | 55 | 2007 |
| Learning from MOM’s principles: Le Cam’s approach G Lecué, M Lerasle Stochastic Processes and their applications 129 (11), 4385-4410, 2019 | 49 | 2019 |
| Optimal learning with Q-aggregation G Lecué, P Rigollet | 47 | 2014 |
| Oracle inequalities for cross-validation type procedures G Lecué, C Mitchell | 45 | 2012 |
| Performance of empirical risk minimization in linear aggregation G Lecué, S Mendelson | 43 | 2016 |
| Sparse recovery under weak moment assumptions G Lecué, S Mendelson arXiv preprint arXiv:1401.2188, 2014 | 42 | 2014 |
| Simultaneous adaptation to the margin and to complexity in classification G Lecué | 42 | 2007 |
