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Volumn , Issue , 2010, Pages 823-830

Estimation of (near) low-rank matrices with noise and high-dimensional scaling

Author keywords

[No Author keywords available]

Indexed keywords

ASYMPTOTIC BOUNDS; AUTO REGRESSIVE PROCESS; FROBENIUS NORM; GENERAL CLASS; HIGH-DIMENSIONAL; LOW RANK; LOW-RANK MATRICES; M-ESTIMATORS; MATRIX; NOISY OBSERVATIONS; RANDOM PROJECTIONS; SPECIFIC LEARNING; STATISTICAL INFERENCE; SYSTEM IDENTIFICATIONS;

EID: 77956529833     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (16)
  • 1
    • 53849092516 scopus 로고    scopus 로고
    • Simultaneous analysis of lasso and dantzig selector
    • P. Bickel, Y. Ritov, and A. Tsybakov, "Simultaneous analysis of lasso and dantzig selector," Annals of Statistics, vol. 3, pp. 38-60, 2009.
    • (2009) Annals of Statistics , vol.3 , pp. 38-60
    • Bickel, P.1    Ritov, Y.2    Tsybakov, A.3
  • 2
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • April
    • D. Donoho, "Compressed sensing," IEEE Trans. Info. Theory, vol. 52, no. 4, pp. 1289-1306, April 2006.
    • (2006) IEEE Trans. Info. Theory , vol.52 , Issue.4 , pp. 1289-1306
    • Donoho, D.1
  • 3
    • 29144439194 scopus 로고    scopus 로고
    • Decoding by linear programming
    • December
    • E. Candes and T. Tao, "Decoding by linear programming," IEEE Trans. Info Theory, vol. 51, no. 12, pp. 4203-4215, December 2005.
    • (2005) IEEE Trans. Info Theory , vol.51 , Issue.12 , pp. 4203-4215
    • Candes, E.1    Tao, T.2
  • 5
    • 26944489846 scopus 로고    scopus 로고
    • Maximum-margin matrix factorization
    • Vancouver, Canada, December
    • N. Srebro, J. Rennie, and T. S. Jaakkola, "Maximum-margin matrix factorization," in NIPS, Vancouver, Canada, December 2004.
    • (2004) NIPS
    • Srebro, N.1    Rennie, J.2    Jaakkola, T.S.3
  • 7
    • 46249124832 scopus 로고    scopus 로고
    • Consistency of trace norm minimization
    • June
    • F. Bach, "Consistency of trace norm minimization," Journal of Machine Learning Research, vol. 9, pp. 1019-1048, June 2008.
    • (2008) Journal of Machine Learning Research , vol.9 , pp. 1019-1048
    • Bach, F.1
  • 9
    • 64549083840 scopus 로고    scopus 로고
    • Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization
    • B. Recht, M. Fazel, and P. A. Parrilo, "Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization," SIAM Review, 2007.
    • (2007) SIAM Review
    • Recht, B.1    Fazel, M.2    Parrilo, P.A.3
  • 10
    • 77955698795 scopus 로고    scopus 로고
    • Exact matrix completion via convex optimization
    • vol. abs/0805.4471
    • E. J. Candès and B. Recht, "Exact matrix completion via convex optimization," CoRR, vol. abs/0805.4471, 2008.
    • (2008) CoRR
    • Candès, E.J.1    Recht, B.2
  • 11
    • 77955669878 scopus 로고    scopus 로고
    • Spectral regularization algorithms for learning large incomplete matrices
    • July
    • R. Mazumber, T. Hastie, and R. Tibshirani, "Spectral regularization algorithms for learning large incomplete matrices," Stanford, Tech. Rep., July 2009.
    • (2009) Stanford, Tech. Rep.
    • Mazumber, R.1    Hastie, T.2    Tibshirani, R.3
  • 12
    • 84858717588 scopus 로고    scopus 로고
    • A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers
    • December
    • S. Negahban, P. Ravikumar, M. J. Wainwright, and B. Yu, "A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers," in NIPS, December 2009.
    • (2009) NIPS
    • Negahban, S.1    Ravikumar, P.2    Wainwright, M.J.3    Yu, B.4
  • 16
    • 71149103464 scopus 로고    scopus 로고
    • An accelerated gradient method for trace norm minimization
    • S. Ji and J. Ye, "An accelerated gradient method for trace norm minimization," in ICML, 2009.
    • (2009) ICML
    • Ji, S.1    Ye, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.