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Robust Covariance and Scatter Matrix Estimation under Huber's
  Contamination Model
v1v2v3v4 (latest)

Robust Covariance and Scatter Matrix Estimation under Huber's Contamination Model

1 June 2015
Mengjie Chen
Chao Gao
Zhao Ren
ArXiv (abs)PDFHTML

Papers citing "Robust Covariance and Scatter Matrix Estimation under Huber's Contamination Model"

20 / 70 papers shown
Title
High Dimensional Robust $M$-Estimation: Arbitrary Corruption and Heavy
  Tails
High Dimensional Robust MMM-Estimation: Arbitrary Corruption and Heavy Tails
Liu Liu
Tianyang Li
Constantine Caramanis
74
14
0
24 Jan 2019
Uniform bounds for robust mean estimators
Uniform bounds for robust mean estimators
Stanislav Minsker
OODFedML
109
36
0
09 Dec 2018
High-Dimensional Robust Mean Estimation in Nearly-Linear Time
High-Dimensional Robust Mean Estimation in Nearly-Linear Time
Yu Cheng
Ilias Diakonikolas
Rong Ge
77
124
0
23 Nov 2018
User-Friendly Covariance Estimation for Heavy-Tailed Distributions
User-Friendly Covariance Estimation for Heavy-Tailed Distributions
Y. Ke
Stanislav Minsker
Zhao Ren
Qiang Sun
Wen-Xin Zhou
107
57
0
05 Nov 2018
Robust Sparse Reduced Rank Regression in High Dimensions
Robust Sparse Reduced Rank Regression in High Dimensions
Kean Ming Tan
Qiang Sun
Daniela Witten
73
3
0
18 Oct 2018
Robust Estimation and Generative Adversarial Nets
Robust Estimation and Generative Adversarial Nets
Chao Gao
Jiyi Liu
Yuan Yao
Weizhi Zhu
146
28
0
04 Oct 2018
Estimating minimum effect with outlier selection
Estimating minimum effect with outlier selection
Alexandra Carpentier
S. Delattre
Étienne Roquain
Nicolas Verzélen
81
9
0
21 Sep 2018
Robust classification via MOM minimization
Robust classification via MOM minimization
Guillaume Lecué
M. Lerasle
Timlothée Mathieu
107
50
0
09 Aug 2018
High Dimensional Robust Sparse Regression
High Dimensional Robust Sparse Regression
Liu Liu
Yanyao Shen
Tianyang Li
Constantine Caramanis
95
71
0
29 May 2018
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
Dong Yin
Yudong Chen
Kannan Ramchandran
Peter L. Bartlett
OODFedML
154
1,526
0
05 Mar 2018
Robust Estimation via Robust Gradient Estimation
Robust Estimation via Robust Gradient Estimation
Adarsh Prasad
A. Suggala
Sivaraman Balakrishnan
Pradeep Ravikumar
103
222
0
19 Feb 2018
Connecting pairwise spheres by depth: DCOPS
Connecting pairwise spheres by depth: DCOPS
R. Fraiman
Fabrice Gamboa
L. Moreno
MDE
51
12
0
06 Oct 2017
Estimation of the covariance structure of heavy-tailed distributions
Estimation of the covariance structure of heavy-tailed distributions
Stanislav Minsker
Xiaohan Wei
110
38
0
01 Aug 2017
Robust Sparse Covariance Estimation by Thresholding Tyler's M-Estimator
Robust Sparse Covariance Estimation by Thresholding Tyler's M-Estimator
John Goes
Gilad Lerman
B. Nadler
60
23
0
25 Jun 2017
Adaptive Huber Regression
Adaptive Huber Regression
Qiang Sun
Wen-Xin Zhou
Jianqing Fan
182
281
0
21 Jun 2017
Tyler shape depth
Tyler shape depth
D. Paindaveine
Germain Van Bever
MDE
48
2
0
02 Jun 2017
Halfspace depths for scatter, concentration and shape matrices
Halfspace depths for scatter, concentration and shape matrices
D. Paindaveine
Germain Van Bever
159
21
0
20 Apr 2017
Computationally Efficient Robust Estimation of Sparse Functionals
Computationally Efficient Robust Estimation of Sparse Functionals
S. Du
Sivaraman Balakrishnan
Aarti Singh
93
18
0
24 Feb 2017
Robust Regression via Mutivariate Regression Depth
Robust Regression via Mutivariate Regression Depth
Chao Gao
84
48
0
15 Feb 2017
Robust Learning of Fixed-Structure Bayesian Networks
Robust Learning of Fixed-Structure Bayesian Networks
Yu Cheng
Ilias Diakonikolas
D. Kane
Alistair Stewart
OOD
124
47
0
23 Jun 2016
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