Geometric median and robust estimation in Banach spaces S Minsker
315 2015 On some extensions of Bernstein’s inequality for self-adjoint operators S Minsker
Statistics & Probability Letters 127, 111-119, 2017
149 * 2017 Scalable and robust Bayesian inference via the median posterior S Minsker, S Srivastava, L Lin, D Dunson
International conference on machine learning, 1656-1664, 2014
117 2014 Robust and scalable Bayes via a median of subset posterior measures S Minsker, S Srivastava, L Lin, DB Dunson
Journal of Machine Learning Research 18 (124), 1-40, 2017
109 2017 Sub-Gaussian estimators of the mean of a random matrix with heavy-tailed entries S Minsker
https://arxiv.org/abs/1605.07129, 2016
100 2016 Distributed statistical estimation and rates of convergence in normal approximation S Minsker
77 2019 User-Friendly Covariance Estimation for Heavy-Tailed Distributions: A Survey and Recent Results S Minsker, Y Ke, Z Ren, Q Sun, WX Zhou
Statistical science, 2019
64 2019 Plug-in Approach to Active Learning. S Minsker
Journal of Machine Learning Research 13 (1), 2012
49 2012 Structured signal recovery from non-linear and heavy-tailed measurements L Goldstein, S Minsker, X Wei
IEEE Transactions on Information Theory 64 (8), 5513-5530, 2018
45 2018 Uniform bounds for robust mean estimators S Minsker
arXiv preprint arXiv:1812.03523, 2018
42 2018 Multiscale dictionary learning: non-asymptotic bounds and robustness M Maggioni, S Minsker, N Strawn
The Journal of Machine Learning Research 17 (1), 43-93, 2016
41 2016 Estimation of the covariance structure of heavy-tailed distributions X Wei, S Minsker
Advances in neural information processing systems 30, 2017
37 2017 Robust modifications of U-statistics and applications to covariance estimation problems S Minsker, X Wei
29 2020 Excess risk bounds in robust empirical risk minimization T Mathieu, S Minsker
Information and Inference: A Journal of the IMA 10 (4), 1423-1490, 2021
22 * 2021 Estimation of extreme values and associated level sets of a regression function via selective sampling S Minsker
Conference on Learning Theory, 105-121, 2013
18 2013 Active clinical trials for personalized medicine S Minsker, YQ Zhao, G Cheng
Journal of the American Statistical Association 111 (514), 875-887, 2016
17 2016 Robust and efficient mean estimation: an approach based on the properties of self-normalized sums S Minsker, M Ndaoud
Electronic Journal of Statistics 15 (2), 6036-6070, 2021
14 2021 U-statistics of growing order and sub-Gaussian mean estimators with sharp constants S Minsker
arXiv preprint arXiv:2202.11842, 2022
13 2022 -penalization in functional linear regression with subgaussian designV Koltchinskii, S Minsker
Journal de l’Ecole polytechnique-Mathématiques 1, 269-330, 2014
13 2014 Non-asymptotic bounds for prediction problems and density estimation S Minsker
Georgia Institute of Technology, 2012
8 2012