Stanislav Minsker
Stanislav Minsker
Verified email at usc.edu
Title
Cited by
Cited by
Year
Geometric median and robust estimation in Banach spaces
S Minsker
Bernoulli 21 (4), 2308-2335, 2015
1862015
Robust and scalable Bayes via a median of subset posterior measures
S Minsker, S Srivastava, L Lin, DB Dunson
The Journal of Machine Learning Research 18 (1), 4488-4527, 2017
902017
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
882014
On some extensions of Bernstein’s inequality for self-adjoint operators
S Minsker
Statistics & Probability Letters 127, 111-119, 2017
84*2017
Sub-Gaussian estimators of the mean of a random matrix with heavy-tailed entries
S Minsker
https://arxiv.org/abs/1605.07129, 2016
472016
Distributed statistical estimation and rates of convergence in normal approximation
S Minsker
Electronic Journal of Statistics 13 (2), 5213-5252, 2019
392019
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
372018
Plug-in Approach to Active Learning.
S Minsker
Journal of Machine Learning Research 13 (1), 2012
352012
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
262016
Estimation of the covariance structure of heavy-tailed distributions
S Minsker, X Wei
arXiv preprint arXiv:1708.00502, 2017
222017
Uniform bounds for robust mean estimators
S Minsker
arXiv preprint arXiv:1812.03523, 2018
192018
Robust modifications of U-statistics and applications to covariance estimation problems
S Minsker, X Wei
Bernoulli 26 (1), 694-727, 2020
182020
Estimation of extreme values and associated level sets of a regression function via selective sampling
S Minsker
Conference on Learning Theory, 105-121, 2013
142013
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
132019
Active clinical trials for personalized medicine
S Minsker, YQ Zhao, G Cheng
Journal of the American Statistical Association 111 (514), 875-887, 2016
132016
Dictionary Learning and Non‐Asymptotic Bounds for Geometric Multi‐Resolution Analysis
M Maggioni, S Minsker, N Strawn
PAMM 14 (1), 1013-1016, 2014
72014
-penalization in functional linear regression with subgaussian design
V Koltchinskii, S Minsker
Journal de l’Ecole polytechnique-Mathématiques 1, 269-330, 2014
72014
Non-asymptotic bounds for prediction problems and density estimation.
S Minsker
Georgia Institute of Technology, 2012
72012
Excess risk bounds in robust empirical risk minimization
S Minsker, T Mathieu
arXiv preprint arXiv:1910.07485, 2019
62019
Geometric multi-resolution analysis for dictionary learning
M Maggioni, S Minsker, N Strawn
Wavelets and Sparsity XVI 9597, 95971C, 2015
32015
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