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Volumn , Issue , 2005, Pages 257-266

Subgradient arid sampling algorithms for ℓ 1 regression

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL PROPERTIES; MONTE CARLO ALGORITHMS; REGRESSION MODELS; SAMPLING ALGORITHMS;

EID: 20744435603     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (85)

References (17)
  • 1
    • 4243114094 scopus 로고    scopus 로고
    • Approximating extent measures of points
    • [AHPVar], to appear
    • [AHPVar] P. Agarwal, S. Har-Peled, and K. R. Varadarajan. Approximating extent measures of points. J. ACM, to appear.
    • J. ACM
    • Agarwal, P.1    Har-Peled, S.2    Varadarajan, K.R.3
  • 6
    • 0029274566 scopus 로고
    • Las Vegas algorithms for linear and integer programming when the dimension is small
    • [Cla95]
    • [Cla95] K. L. Clarkson. Las Vegas algorithms for linear and integer programming when the dimension is small. Journal of the ACM, 42(2):488-499, 1995.
    • (1995) Journal of the ACM , vol.42 , Issue.2 , pp. 488-499
    • Clarkson, K.L.1
  • 9
    • 0036367320 scopus 로고    scopus 로고
    • Projective clustering in high dimensions using core-sets
    • [HPV02]
    • [HPV02] S. Har-Peled and K. R. Varadarajan. Projective clustering in high dimensions using core-sets. In Symp. Comp. Geometry, 2002.
    • (2002) Symp. Comp. Geometry
    • Har-Peled, S.1    Varadarajan, K.R.2
  • 11
    • 20744445610 scopus 로고    scopus 로고
    • A bound on the deviation probability for sums of non-negative random variables
    • [Mau03]
    • [Mau03] A. Maurer. A bound on the deviation probability for sums of non-negative random variables. J. Inequalities in Pure and Applied Mathematics, 4, 2003.
    • (2003) J. Inequalities in Pure and Applied Mathematics , vol.4
    • Maurer, A.1
  • 12
    • 3142657660 scopus 로고    scopus 로고
    • Concentration inequalities for the missing mass and for histogram rule error
    • [MO03]
    • [MO03] D. McAllester and L. Ortiz. Concentration inequalities for the missing mass and for histogram rule error. J. Machine Learning Research, 4:895-911, 2003.
    • (2003) J. Machine Learning Research , vol.4 , pp. 895-911
    • McAllester, D.1    Ortiz, L.2
  • 13
    • 0027602304 scopus 로고
    • Linear time algorithms for some separable quadratic programming problems
    • [MT93], March
    • [MT93] N. Megiddo and A. Tamir. Linear time algorithms for some separable quadratic programming problems. Operations Research Letters, 13:203-211, March 1993.
    • (1993) Operations Research Letters , vol.13 , pp. 203-211
    • Megiddo, N.1    Tamir, A.2
  • 14
    • 0036342213 scopus 로고    scopus 로고
    • Incremental subgradient methods for nondifferentiable optimization
    • [NB01]
    • [NB01] A. Nedić and D. Bertsekas. Incremental subgradient methods for nondifferentiable optimization. SIAM J. Opt., 12(1):109-138, 2001.
    • (2001) SIAM J. Opt. , vol.12 , Issue.1 , pp. 109-138
    • Nedić, A.1    Bertsekas, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.