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Problemy Peredachi Informatsii, 2015, Volume 51, Issue 4, Pages 32–46 (Mi ppi2185)  
This article is cited in 4 scientific papers (total in 4 papers)

Methods of Signal Processing

Estimation of matrices with row sparsity

O. Kloppa, A. B. Tsybakovb

a CREST and MODAL'X, University Paris Ouest, Nanterre, France
b UMR CNRS 9194, ENSAE, Malakoff, France
Full-text PDF (260 kB) Citations (4)
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Abstract: An increasing number of applications is concerned with recovering a sparse matrix from noisy observations. In this paper, we consider the setting where each row of an unknown matrix is sparse. We establish minimax optimal rates of convergence for estimating matrices with row sparsity. A major focus in the present paper is on the derivation of lower bounds.
Funding agency Grant number
Labex ANR11-LBX-0023-01
Agence Nationale de la Recherche ANR-13-BSH1-0004-02
ANR-11-LABEX-0047
Conducted as a part of the project Labex MME-DII, grant no. ANR11-LBX-0023-01.
Supported by the French National Research Agency (ANR), grant nos. ANR-13-BSH1-0004-02 and ANR-11-LABEX-0047, and by GENES. Also supported by the “Chaire Economie et Gestion des Nouvelles Données”, under the auspices of Institut Louis Bachelier, Havas Media, and Paris-Dauphine.
Received: 15.03.2015
Revised: 08.09.2015
English version:
Problems of Information Transmission, 2015, Volume 51, Issue 4, Pages 335–348
DOI: https://doi.org/10.1134/S0032946015040031
Bibliographic databases:
Document Type: Article
UDC: 621.391.1+519.2
Language: Russian
Citation: O. Klopp, A. B. Tsybakov, “Estimation of matrices with row sparsity”, Probl. Peredachi Inf., 51:4 (2015), 32–46; Problems Inform. Transmission, 51:4 (2015), 335–348
Citation in format AMSBIB
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\paper Estimation of matrices with row sparsity
\jour Probl. Peredachi Inf.
\yr 2015
\vol 51
\issue 4
\pages 32--46
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\transl
\jour Problems Inform. Transmission
\yr 2015
\vol 51
\issue 4
\pages 335--348
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    • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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