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A General Decision Theory for Huber's $ε$-Contamination Model
v1v2 (latest)

A General Decision Theory for Huber's εεε-Contamination Model

13 November 2015
Mengjie Chen
Chao Gao
Zhao Ren
ArXiv (abs)PDFHTML

Papers citing "A General Decision Theory for Huber's $ε$-Contamination Model"

6 / 6 papers shown
Title
On adaptive posterior concentration rates
On adaptive posterior concentration rates
M. Hoffmann
Judith Rousseau
Johannes Schmidt-Hieber
159
85
0
22 May 2013
Nuclear norm penalization and optimal rates for noisy low rank matrix
  completion
Nuclear norm penalization and optimal rates for noisy low rank matrix completion
V. Koltchinskii
Alexandre B. Tsybakov
Karim Lounici
226
664
0
29 Nov 2010
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons
Nicolas Verzélen
284
153
0
03 Aug 2010
Estimation of high-dimensional low-rank matrices
Estimation of high-dimensional low-rank matrices
Angelika Rohde
Alexandre B. Tsybakov
264
382
0
29 Dec 2009
Minimax rates of estimation for high-dimensional linear regression over
  $\ell_q$-balls
Minimax rates of estimation for high-dimensional linear regression over ℓq\ell_qℓq​-balls
Garvesh Raskutti
Martin J. Wainwright
Bin Yu
220
575
0
11 Oct 2009
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear
  Norm Minimization
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht
Maryam Fazel
P. Parrilo
419
3,771
0
28 Jun 2007
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