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Near-optimal mean estimators with respect to general norms

Near-optimal mean estimators with respect to general norms

16 June 2018
Gábor Lugosi
S. Mendelson
ArXiv (abs)PDFHTML

Papers citing "Near-optimal mean estimators with respect to general norms"

19 / 19 papers shown
Title
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
Ilias Diakonikolas
D. Kane
Jasper C. H. Lee
Ankit Pensia
55
12
0
29 Nov 2022
On Catoni's M-Estimation
On Catoni's M-Estimation
Pengtao Li
Hanchao Wang
52
0
0
15 Oct 2022
Robust Methods for High-Dimensional Linear Learning
Robust Methods for High-Dimensional Linear Learning
Ibrahim Merad
Stéphane Gaïffas
OOD
91
3
0
10 Aug 2022
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial
  Corruption and Heavy Tails
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial Corruption and Heavy Tails
Pedro Abdalla
Nikita Zhivotovskiy
84
25
0
17 May 2022
U-statistics of growing order and sub-Gaussian mean estimators with
  sharp constants
U-statistics of growing order and sub-Gaussian mean estimators with sharp constants
Stanislav Minsker
75
14
0
24 Feb 2022
Near-Optimal Quantum Algorithms for Multivariate Mean Estimation
Near-Optimal Quantum Algorithms for Multivariate Mean Estimation
A. Cornelissen
Yassine Hamoudi
Sofiene Jerbi
83
30
0
18 Nov 2021
Distribution-Free Robust Linear Regression
Distribution-Free Robust Linear Regression
Jaouad Mourtada
Tomas Vaskevicius
Nikita Zhivotovskiy
OOD
74
24
0
25 Feb 2021
On Monte-Carlo methods in convex stochastic optimization
On Monte-Carlo methods in convex stochastic optimization
Daniel Bartl
S. Mendelson
70
8
0
19 Jan 2021
Robust subgaussian estimation with VC-dimension
Robust subgaussian estimation with VC-dimension
Jules Depersin
85
12
0
24 Apr 2020
Robust $k$-means Clustering for Distributions with Two Moments
Robust kkk-means Clustering for Distributions with Two Moments
Yegor Klochkov
Alexey Kroshnin
Nikita Zhivotovskiy
61
20
0
06 Feb 2020
All-In-One Robust Estimator of the Gaussian Mean
All-In-One Robust Estimator of the Gaussian Mean
A. Dalalyan
A. Minasyan
121
25
0
04 Feb 2020
Algorithms for Heavy-Tailed Statistics: Regression, Covariance
  Estimation, and Beyond
Algorithms for Heavy-Tailed Statistics: Regression, Covariance Estimation, and Beyond
Yeshwanth Cherapanamjeri
Samuel B. Hopkins
Tarun Kathuria
P. Raghavendra
Nilesh Tripuraneni
150
39
0
23 Dec 2019
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates
Zhixian Lei
K. Luh
Prayaag Venkat
Fred Zhang
114
35
0
13 Aug 2019
Algorithms of Robust Stochastic Optimization Based on Mirror Descent
  Method
Algorithms of Robust Stochastic Optimization Based on Mirror Descent Method
A. Juditsky
A. Nazin
A. S. Nemirovsky
Alexandre B. Tsybakov
74
64
0
05 Jul 2019
Mean estimation and regression under heavy-tailed distributions--a
  survey
Mean estimation and regression under heavy-tailed distributions--a survey
Gabor Lugosi
S. Mendelson
105
246
0
10 Jun 2019
Uniform bounds for robust mean estimators
Uniform bounds for robust mean estimators
Stanislav Minsker
OODFedML
111
36
0
09 Dec 2018
Robust covariance estimation under $L_4-L_2$ norm equivalence
Robust covariance estimation under L4−L2L_4-L_2L4​−L2​ norm equivalence
S. Mendelson
Nikita Zhivotovskiy
109
61
0
27 Sep 2018
Convergence rates for empirical barycenters in metric spaces: curvature,
  convexity and extendible geodesics
Convergence rates for empirical barycenters in metric spaces: curvature, convexity and extendible geodesics
A. Ahidar-Coutrix
Thibaut Le Gouic
Q. Paris
96
53
0
07 Jun 2018
Distributed Statistical Estimation and Rates of Convergence in Normal
  Approximation
Distributed Statistical Estimation and Rates of Convergence in Normal Approximation
Stanislav Minsker
Nate Strawn
86
67
0
09 Apr 2017
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