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Volumn 38, Issue 4, 2010, Pages 1978-2004

The benefit of group sparsity

Author keywords

Group Lasso; Group sparsity; L1 regularization; Lasso; Parameter estimation; Regression; Sparsity; Variable selection

Indexed keywords


EID: 77955136689     PISSN: 00905364     EISSN: None     Source Type: Journal    
DOI: 10.1214/09-AOS778     Document Type: Article
Times cited : (409)

References (16)
  • 1
    • 46249088758 scopus 로고    scopus 로고
    • Consistency of the group lasso and multiple kernel learning
    • MR2417268
    • BACH, F. R. (2008). Consistency of the group lasso and multiple kernel learning. J. Mach. Learn. Res. 9 1179-1225. MR2417268
    • (2008) J. Mach. Learn. Res. , vol.9 , pp. 1179-1225
    • Bach, F.R.1
  • 2
    • 68649086910 scopus 로고    scopus 로고
    • Simultaneous analysis of Lasso and Dantzig selector
    • MR2533469
    • BICKEL, P., RITOV, Y. and TSYBAKOV, A. (2009). Simultaneous analysis of Lasso and Dantzig selector. Ann. Statist. 37 1705-1732. MR2533469
    • (2009) Ann. Statist , vol.37 , pp. 1705-1732
    • Bickel, P.1    Ritov, Y.2    Tsybakov, A.3
  • 3
    • 29144439194 scopus 로고    scopus 로고
    • Decoding by linear programming
    • MR2243152
    • CANDES, E. J. and TAO, T. (2005). Decoding by linear programming. IEEE Trans. Inform. Theory 51 4203-4215. MR2243152
    • (2005) IEEE Trans. Inform. Theory , vol.51 , pp. 4203-4215
    • Candes, E.J.1    Tao, T.2
  • 5
    • 84860650487 scopus 로고    scopus 로고
    • Sparse recovery in large ensembles of kernel machines
    • Omnipress, Madison, WI
    • KOLTCHINSKII, V. and YUAN, M. (2008). Sparse recovery in large ensembles of kernel machines. In COLT'08. Omnipress, Madison, WI.
    • (2008) COLT'08
    • Koltchinskii, V.1    Yuan, M.2
  • 6
    • 84898059927 scopus 로고    scopus 로고
    • Taking advantage of sparsity in multi-task learning
    • Omnipress, Madison, WI
    • LOUNICI, K., PONTIL, M., TSYBAKOV, A. B. and VAN DE GEER, S. A. (2009). Taking advantage of sparsity in multi-task learning. In COLT'09. Omnipress, Madison, WI.
    • (2009) COLT'09
    • Lounici, K.1    Pontil, M.2    Tsybakov, A.B.3    Van De Geer, S.A.4
  • 7
    • 77949526376 scopus 로고    scopus 로고
    • On the asymptotic properties of the group lasso estimator for linear models
    • MR2426104
    • NARDI, Y. and RINALDO, A. (2008). On the asymptotic properties of the group lasso estimator for linear models. Electron. J. Stat. 2 605-633. MR2426104
    • (2008) Electron. J. Stat , vol.2 , pp. 605-633
    • Nardi, Y.1    Rinaldo, A.2
  • 8
    • 64549103939 scopus 로고    scopus 로고
    • Union support recovery in high-dimensional multivariate regression
    • Univ. California Press, Berkeley, CA
    • OBOZINSKI, G., WAINWRIGHT, M. J. and JORDAN, M. I. (2008). Union support recovery in high-dimensional multivariate regression. Technical Report 761, Univ. California Press, Berkeley, CA.
    • (2008) Technical Report 761
    • Obozinski, G.1    Wainwright, M.J.2    Jordan, M.I.3
  • 11
    • 68249141421 scopus 로고    scopus 로고
    • On the reconstruction of block-sparse signals with an optimal number of measurements
    • STOJNIC, M., PARVARESH, F. and HASSIBI, B. (2009). On the reconstruction of block-sparse signals with an optimal number of measurements. Trans. Signal. Process. 57 3075-3085.
    • (2009) Trans. Signal. Process , vol.57 , pp. 3075-3085
    • Stojnic, M.1    Parvaresh, F.2    Hassibi, B.3
  • 12
    • 34347400802 scopus 로고    scopus 로고
    • An empirical Bayesian strategy for solving the simultaneous sparse approximation problem
    • MR2468673
    • WIPF, D. and RAO, B. (2007). An empirical Bayesian strategy for solving the simultaneous sparse approximation problem. IEEE Trans. Signal Process. 55 3704-3716. MR2468673
    • (2007) IEEE Trans. Signal Process , vol.55 , pp. 3704-3716
    • Wipf, D.1    Rao, B.2
  • 13
    • 33645035051 scopus 로고    scopus 로고
    • Model selection and estimation in regression with grouped variables
    • MR2212574
    • YUAN, M. and LIN, Y. (2006). Model selection and estimation in regression with grouped variables. J. R. Stat. Soc. Ser. B Stat. Methodol. 68 49-67. MR2212574
    • (2006) J. R. Stat. Soc. Ser. B Stat. Methodol. , vol.68 , pp. 49-67
    • Yuan, M.1    Lin, Y.2
  • 14
    • 50949096321 scopus 로고    scopus 로고
    • The sparsity and bias of the lasso selection in highdimensional linear regression
    • MR2435448
    • ZHANG, C.-H. and HUANG, J. (2008). The sparsity and bias of the lasso selection in highdimensional linear regression. Ann. Statist. 36 1567-1594. MR2435448
    • (2008) Ann. Statist , vol.36 , pp. 1567-1594
    • Zhang, C.-H.1    Huang, J.2
  • 15
    • 33645722194 scopus 로고    scopus 로고
    • Information theoretical upper and lower bounds for statistical estimation
    • MR2241190
    • ZHANG, T. (2006). Information theoretical upper and lower bounds for statistical estimation. IEEE Trans. Inform. Theory 52 1307-1321. MR2241190
    • (2006) IEEE Trans. Inform. Theory , vol.52 , pp. 1307-1321
    • Zhang, T.1
  • 16
    • 69049086702 scopus 로고    scopus 로고
    • 1 regularization
    • MR2543687
    • 1 regularization. Ann. Statist. 37 2109-2144. MR2543687
    • (2009) Ann. Statist , vol.37 , pp. 2109-2144
    • Zhang, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.