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Volumn , Issue , 2011, Pages

Better mini-batch algorithms via accelerated gradient methods

Author keywords

[No Author keywords available]

Indexed keywords

CONVEX OPTIMIZATION; SIGNAL PROCESSING; STOCHASTIC SYSTEMS;

EID: 85162498265     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (284)

References (16)
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    • A method for unconstrained convex minimization problem with the rate of convergence o(1/k2)
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    • Nesterov, Y.1
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    • Smooth minimization of non-smooth functions
    • Y. Nesterov. Smooth minimization of non-smooth functions. Math. Program., 103(1):127-152, 2005.
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    • August
    • Y. Nesterov. Primal-dual subgradient methods for convex problems. Mathematical Programming, 120(1):221-259, August 2009.
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    • Pegasos: Primal estimated sub-gradient solver for SVM
    • S. Shalev-Shwartz, Y. Singer, N. Srebro, and A. Cotter. Pegasos: primal estimated sub-gradient solver for SVM. Math. Program., 127(1):3-30, 2011.
    • (2011) Math. Program. , vol.127 , Issue.1 , pp. 3-30
    • Shalev-Shwartz, S.1    Singer, Y.2    Srebro, N.3    Cotter, A.4
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    • SVM optimization: Inverse dependence on training set size
    • S. Shalev-Shwartz and N. Srebro. SVM optimization: inverse dependence on training set size. In ICML, 2008.
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    • Shalev-Shwartz, S.1    Srebro, N.2
  • 13
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    • Smoothness, low noise and fast rates
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    • On accelerated proximal gradient methods for convex-concave optimization
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    • P. Tseng. On accelerated proximal gradient methods for convex-concave optimization. Submitted to SIAM Journal on Optimization, 2008.
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    • Dual averaging methods for regularized stochastic learning and online optimization
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.