| Geometric median and robust estimation in Banach spaces S Minsker | 336 | 2015 |
| On some extensions of Bernstein’s inequality for self-adjoint operators S Minsker Statistics & Probability Letters 127, 111-119, 2017 | 156* | 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 | 123 | 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 | 114 | 2017 |
| Sub-Gaussian estimators of the mean of a random matrix with heavy-tailed entries S Minsker https://arxiv.org/abs/1605.07129, 2016 | 103 | 2016 |
| Distributed statistical estimation and rates of convergence in normal approximation S Minsker | 82 | 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 | 72 | 2019 |
| Plug-in Approach to Active Learning. S Minsker Journal of Machine Learning Research 13 (1), 2012 | 52 | 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 |
| 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 | 45 | 2016 |
| Uniform bounds for robust mean estimators S Minsker arXiv preprint arXiv:1812.03523, 2018 | 42 | 2018 |
| Estimation of the covariance structure of heavy-tailed distributions X Wei, S Minsker Advances in neural information processing systems 30, 2017 | 40 | 2017 |
| Robust modifications of U-statistics and applications to covariance estimation problems S Minsker, X Wei | 31 | 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 | 23* | 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 |
| U-statistics of growing order and sub-Gaussian mean estimators with sharp constants S Minsker Mathematical Statistics and Learning 7 (1), 1-39, 2023 | 16 | 2023 |
| 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 | 16 | 2021 |
| -penalization in functional linear regression with subgaussian design V 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 |
Xiaohan WeiMeta在 usc.edu 的电子邮件经过验证
