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Convex programming approach to robust estimation of a multivariate
  Gaussian model
v1v2v3 (latest)

Convex programming approach to robust estimation of a multivariate Gaussian model

15 December 2015
Samuel Balmand
A. Dalalyan
ArXiv (abs)PDFHTML

Papers citing "Convex programming approach to robust estimation of a multivariate Gaussian model"

5 / 5 papers shown
Title
Outlier-robust estimation of a sparse linear model using
  $\ell_1$-penalized Huber's $M$-estimator
Outlier-robust estimation of a sparse linear model using ℓ1\ell_1ℓ1​-penalized Huber's MMM-estimator
A. Dalalyan
Philip Thompson
221
68
0
12 Apr 2019
Restricted eigenvalue property for corrupted Gaussian designs
Restricted eigenvalue property for corrupted Gaussian designs
Philip Thompson
A. Dalalyan
263
1
0
21 May 2018
Minimax estimation of a p-dimensional linear functional in sparse
  Gaussian models and robust estimation of the mean
Minimax estimation of a p-dimensional linear functional in sparse Gaussian models and robust estimation of the mean
O. Collier
A. Dalalyan
281
8
0
15 Dec 2017
Robust Sparse Estimation Tasks in High Dimensions
Robust Sparse Estimation Tasks in High Dimensions
Jerry Li
209
27
0
20 Feb 2017
Robust Estimators in High Dimensions without the Computational
  Intractability
Robust Estimators in High Dimensions without the Computational Intractability
Ilias Diakonikolas
Gautam Kamath
D. Kane
Haibin Zhang
Ankur Moitra
Alistair Stewart
298
531
0
21 Apr 2016
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