Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion V Koltchinskii, K Lounici, AB Tsybakov
799 2011 Oracle inequalities and optimal inference under group sparsity K Lounici, M Pontil, S Van De Geer, AB Tsybakov
432 2011 Taking advantage of sparsity in multi-task learning K Lounici, M Pontil, AB Tsybakov, S Van De Geer
arXiv preprint arXiv:0903.1468, 2009
317 2009 Concentration inequalities and moment bounds for sample covariance operators V Koltchinskii, K Lounici
Bernoulli, 110-133, 2017
312 2017 Sup-norm convergence rate and sign concentration property of Lasso and Dantzig estimators K Lounici
281 2008 High-dimensional covariance matrix estimation with missing observations K Lounici
216 2014 Robust matrix completion O Klopp, K Lounici, AB Tsybakov
Probability Theory and Related Fields 169, 523-564, 2017
144 2017 Asymptotics and concentration bounds for bilinear forms of spectral projectors of sample covariance V Koltchinskii, K Lounici
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques 52 (4 …, 2016
106 2016 Global uniform risk bounds for wavelet deconvolution estimators K Lounici, R Nickl
97 2011 PAC-Bayesian bounds for sparse regression estimation with exponential weights P Alquier, K Lounici
86 2011 Normal approximation and concentration of spectral projectors of sample covariance V Koltchinskii, K Lounici
77 2017 Sparse principal component analysis with missing observations K Lounici
High Dimensional Probability VI: The Banff Volume, 327-356, 2013
53 2013 New asymptotic results in principal component analysis V Koltchinskii, K Lounici
Sankhya A 79, 254-297, 2017
43 2017 Generalized mirror averaging and D -convex aggregation K Lounici
Mathematical methods of statistics 16, 246-259, 2007
41 2007 Estimation and variable selection with exponential weights E Arias-Castro, K Lounici
38 2014 Concentration bounds for linear monge mapping estimation and optimal transport domain adaptation R Flamary, K Lounici, A Ferrari
arXiv preprint arXiv:1905.10155, 2019
26 2019 Multi-task representation learning with stochastic linear bandits L Cella, K Lounici, G Pacreau, M Pontil
International Conference on Artificial Intelligence and Statistics, 4822-4847, 2023
21 2023 Sharp spectral rates for Koopman operator learning V Kostic, K Lounici, P Novelli, M Pontil
Advances in Neural Information Processing Systems 36, 2024
19 2024 Asymptotics and concentration bounds for spectral projectors of sample covariance V Koltchinskii, K Lounici
arXiv preprint arXiv:1408.4643, 2014
9 2014 Variable Selection with Exponential Weights and E Arias-Castro, K Lounici
arXiv preprint arXiv:1208.2635, 2012
9 2012 
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonZweryfikowany adres z iit.it
