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Volumn , Issue , 2013, Pages

Accelerated mini-batch stochastic dual coordinate ascent

Author keywords

[No Author keywords available]

Indexed keywords

PARALLEL ARCHITECTURES;

EID: 84899021802     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (100)

References (24)
  • 4
    • 80053451705 scopus 로고    scopus 로고
    • Parallel coordinate descent for l1-regularized loss minimization
    • Joseph K Bradley, Aapo Kyrola, Danny Bickson, and Carlos Guestrin. Parallel coordinate descent for l1-regularized loss minimization. In ICML, 2011.
    • (2011) ICML
    • Bradley, J.K.1    Kyrola, A.2    Bickson, D.3    Guestrin, C.4
  • 7
    • 85162011411 scopus 로고    scopus 로고
    • Distribution-calibrated hierarchical classification
    • Ofer Dekel. Distribution-calibrated hierarchical classification. In NIPS, 2010.
    • (2010) NIPS
    • Dekel, O.1
  • 12
    • 85162312627 scopus 로고    scopus 로고
    • Algorithms and hardness results for parallel large margin learning
    • Phil Long and Rocco Servedio. Algorithms and hardness results for parallel large margin learning. In NIPS, 2011.
    • (2011) NIPS
    • Long, P.1    Servedio, R.2
  • 15
    • 17444406259 scopus 로고    scopus 로고
    • Smooth minimization of non-smooth functions
    • Yurii Nesterov. Smooth minimization of non-smooth functions. Mathematical Programming, 103 (1):127-152, 2005.
    • (2005) Mathematical Programming , vol.103 , Issue.1 , pp. 127-152
    • Nesterov, Y.1
  • 18
    • 84897116612 scopus 로고    scopus 로고
    • Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function
    • Peter Richtárik and Martin Takáč. Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function. Mathematical Programming, pages 1-38, 2012a.
    • (2012) Mathematical Programming , pp. 1-38
    • Richtárik, P.1    Takáč, M.2
  • 21
    • 84875134236 scopus 로고    scopus 로고
    • Stochastic dual coordinate ascent methods for regularized loss minimization
    • Feb
    • Shai Shalev-Shwartz and Tong Zhang. Stochastic dual coordinate ascent methods for regularized loss minimization. Journal of Machine Learning Research, 14:567-599, Feb 2013a.
    • (2013) Journal of Machine Learning Research , vol.14 , pp. 567-599
    • Shalev-Shwartz, S.1    Zhang, T.2
  • 23
    • 34547964973 scopus 로고    scopus 로고
    • Pegasos: Primal estimated sub-gradient solver for svm
    • Shai Shalev-Shwartz, Yoram Singer, and Nathan Srebro. Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In ICML, pages 807-814, 2007.
    • (2007) ICML , pp. 807-814
    • Shalev-Shwartz, S.1    Singer, Y.2    Srebro, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.