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Volumn 2015-January, Issue , 2015, Pages 775-783

Fast randomized kernel ridge regression with statistical guarantees

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; ARTIFICIAL INTELLIGENCE; DEGREES OF FREEDOM (MECHANICS); INFORMATION SCIENCE; LEARNING SYSTEMS; REGRESSION ANALYSIS; SAMPLING;

EID: 84965115874     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (387)

References (22)
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    • Efficient SVM training using low-rank kernel representations
    • Shai Fine and Katya Scheinberg. Efficient SVM training using low-rank kernel representations. The Journal of Machine Learning Research, 2:243-264, 2002.
    • (2002) The Journal of Machine Learning Research , vol.2 , pp. 243-264
    • Fine, S.1    Scheinberg, K.2
  • 16
    • 84864315555 scopus 로고    scopus 로고
    • User-friendly tail bounds for sums of random matrices
    • Joel A Tropp. User-friendly tail bounds for sums of random matrices. Foundations of Computational Mathematics, 12(4):389-434, 2012.
    • (2012) Foundations of Computational Mathematics , vol.12 , Issue.4 , pp. 389-434
    • Tropp, J.A.1
  • 17
    • 33751115359 scopus 로고    scopus 로고
    • Fast monte carlo algorithms for matrices I: Approximating matrix multiplication
    • Petros Drineas, Ravi Kannan, and Michael W Mahoney. Fast monte carlo algorithms for matrices I: Approximating matrix multiplication. SIAM Journal on Computing, 36(1):132-157, 2006.
    • (2006) SIAM Journal on Computing , vol.36 , Issue.1 , pp. 132-157
    • Drineas, P.1    Kannan, R.2    Mahoney, M.W.3
  • 18
    • 84972496372 scopus 로고
    • Influential observations, high leverage points, and outliers in linear regression
    • Samprit Chatterjee and Ali S Hadi. Influential observations, high leverage points, and outliers in linear regression. Statistical Science, pages 379-393, 1986.
    • (1986) Statistical Science , pp. 379-393
    • Chatterjee, S.1    Hadi, A.S.2
  • 19
    • 33751075906 scopus 로고    scopus 로고
    • Fast monte carlo algorithms for matrices II: Computing a low-rank approximation to a matrix
    • Petros Drineas, Ravi Kannan, and Michael W Mahoney. Fast monte carlo algorithms for matrices II: Computing a low-rank approximation to a matrix. SIAM Journal on Computing, 36(1):158-183, 2006.
    • (2006) SIAM Journal on Computing , vol.36 , Issue.1 , pp. 158-183
    • Drineas, P.1    Kannan, R.2    Mahoney, M.W.3
  • 21
    • 20444476106 scopus 로고    scopus 로고
    • Fast monte-carlo algorithms for finding low-rank approximations
    • Alan Frieze, Ravi Kannan, and Santosh Vempala. Fast monte-carlo algorithms for finding low-rank approximations. Journal of the ACM (JACM), 51(6):1025-1041, 2004.
    • (2004) Journal of the ACM (JACM) , vol.51 , Issue.6 , pp. 1025-1041
    • Frieze, A.1    Kannan, R.2    Vempala, S.3
  • 22
    • 80555158386 scopus 로고    scopus 로고
    • Self-concordant analysis for logistic regression
    • Francis Bach. Self-concordant analysis for logistic regression. Electronic Journal of Statistics, 4:384-414, 2010.
    • (2010) Electronic Journal of Statistics , vol.4 , pp. 384-414
    • Bach, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.