Matthieu Lerasle
Matthieu Lerasle
CNRS, Ensae-CREST
Dirección de correo verificada de math.u-psud.fr - Página principal
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Sub-Gaussian mean estimators
L Devroye, M Lerasle, G Lugosi, RI Oliveira
The Annals of Statistics 44 (6), 2695-2725, 2016
852016
Robust empirical mean estimators
M Lerasle, RI Oliveira
arXiv preprint arXiv:1112.3914, 2011
622011
Choice of V for V-fold cross-validation in least-squares density estimation
S Arlot, M Lerasle
The Journal of Machine Learning Research 17 (1), 7256-7305, 2016
39*2016
Optimal model selection in density estimation
M Lerasle
Annales de l'IHP Probabilités et statistiques 48 (3), 884-908, 2012
392012
Robust machine learning by median-of-means: theory and practice
G Lecué, M Lerasle
Annals of Statistics 48 (2), 906-931, 2020
372020
Kernels based tests with non-asymptotic bootstrap approaches for two-sample problems
M Fromont, M Lerasle, P Reynaud-Bouret
Conference on Learning Theory, 23.1-23.23, 2012
322012
Optimal model selection for density estimation of stationary data under various mixing conditions
M Lerasle
The Annals of Statistics 39 (4), 1852-1877, 2011
282011
Robust classification via mom minimization
G Lecué, M Lerasle, T Mathieu
Machine Learning, 1-31, 2020
262020
Learning from MOM’s principles: Le Cam’s approach
G Lecué, M Lerasle
Stochastic Processes and their applications 129 (11), 4385-4410, 2019
172019
Why V= 5 is enough in V-fold cross-validation
S Arlot, M Lerasle
arXiv preprint arXiv:1210.5830, 2012
132012
Adaptive density estimation of stationary β-mixing and τ-mixing processes
M Lerasle
Mathematical Methods of statistics 18 (1), 59-83, 2009
112009
The number of potential winners in Bradley–Terry model in random environment
R Chetrite, R Diel, M Lerasle
The Annals of Applied Probability 27 (3), 1372-1394, 2017
102017
Optimal kernel selection for density estimation
M Lerasle, NM Magalhães, P Reynaud-Bouret
High Dimensional Probability VII, 425-460, 2016
102016
Markov Approximations of chains of infinite order in the -metric
S Gallo, M Lerasle, DY Takahashi
arXiv preprint arXiv:1107.4353, 2011
102011
MONK Outlier-Robust Mean Embedding Estimation by Median-of-Means
M Lerasle, Z Szabó, T Mathieu, G Lecué
International Conference on Machine Learning, 3782-3793, 2019
92019
Optimal model selection in density estimation, 2009
M Lerasle
arXiv preprint arXiv:0910.1654 270, 0
9
Sharp oracle inequalities and slope heuristic for specification probabilities estimation in discrete random fields
M Lerasle, DY Takahashi
Bernoulli 22 (1), 325-344, 2016
82016
Rééchantillonnage et sélection de modèles optimale pour l’estimation de la densité de variables indépendantes ou mélangeantes
M Lerasle
PhD thesis, Toulouse, 2009
82009
Robust statistical learning with Lipschitz and convex loss functions
G Chinot, G Lecué, M Lerasle
Probability Theory and related fields, 1-44, 2019
72019
Statistical learning with Lipschitz and convex loss functions
G Chinot, L Guillaume, L Matthieu
arXiv preprint arXiv:1810.01090, 2018
72018
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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