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Volumn , Issue , 2009, Pages 1457-1464

Mind the duality gap: Logarithmic regret algorithms for online optimization

Author keywords

[No Author keywords available]

Indexed keywords

CONVEX OPTIMIZATION;

EID: 77951165785     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (66)

References (15)
  • 3
    • 0037403111 scopus 로고    scopus 로고
    • Mirror descent and nonlinear projected subgradient methods for convex optimization
    • A. Beck and M. Teboulle. Mirror descent and nonlinear projected subgradient methods for convex optimization. Operations Research Letters, 31:167-175, 2003.
    • (2003) Operations Research Letters , vol.31 , pp. 167-175
    • Beck, A.1    Teboulle, M.2
  • 7
    • 85127836544 scopus 로고    scopus 로고
    • Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms
    • M. Collins. Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms. In Conference on Empirical Methods in Natural Language Processing, 2002.
    • (2002) Conference on Empirical Methods in Natural Language Processing
    • Collins, M.1
  • 9
    • 0035370643 scopus 로고    scopus 로고
    • General convergence results for linear discriminant updates
    • DOI 10.1023/A:1010844028087
    • A. J. Grove, N. Littlestone, and D. Schuurmans. General convergence results for linear discriminant updates. Machine Learning, 43(3):173-210, 2001. (Pubitemid 32471832)
    • (2001) Machine Learning , vol.43 , Issue.3 , pp. 173-210
    • Grove, A.J.1    Littlestone, N.2    Schuurmans, D.3
  • 11
    • 0008815681 scopus 로고    scopus 로고
    • Exponentiated gradient versus gradient descent for linear predictors
    • January
    • J. Kivinen and M. Warmuth. Exponentiated gradient versus gradient descent for linear predictors. Information and Computation, 132(1):1-64, January 1997.
    • (1997) Information and Computation , vol.132 , Issue.1 , pp. 1-64
    • Kivinen, J.1    Warmuth, M.2
  • 14
    • 34547994391 scopus 로고    scopus 로고
    • Logarithmic regret algorithms for strictly convex repeated games
    • S. Shalev-Shwartz and Y. Singer. Logarithmic regret algorithms for strictly convex repeated games. Technical report, The Hebrew University, 2007a. Available at http://www.cs.huji.ac.il/~shais.
    • (2007) Technical Report the Hebrew University
    • Shalev-Shwartz, S.1    Singer, Y.2
  • 15
    • 84880121734 scopus 로고    scopus 로고
    • A unified algorithmic approach for efficient online label ranking
    • S. Shalev-Shwartz and Y. Singer. A unified algorithmic approach for efficient online label ranking. In aistat07, 2007b.
    • (2007) Aistat07
    • Shalev-Shwartz, S.1    Singer, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.