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Volumn 4, Issue , 2012, Pages 2672-2680

Query complexity of Derivative-Free Optimization

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE RATES; CONVEX OBJECTIVES; DERIVATIVE-FREE OPTIMIZATION; DERIVATIVEFREE OPTIMIZATIONS (DFO); HUMAN SUBJECTS; PAIRED COMPARISON; PERFORMANCE OF ALGORITHM; QUERY COMPLEXITY;

EID: 84877743678     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (161)

References (24)
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    • Oeuvray, R.1    Bierlaire, M.2
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    • Random gradient-free minimization of convex functions
    • Y. Nesterov. Random gradient-free minimization of convex functions. CORE Discussion Papers, 2011.
    • (2011) CORE Discussion Papers
    • Nesterov, Y.1
  • 7
    • 0142000477 scopus 로고    scopus 로고
    • Differential evolution-A simple and efficient heuristic for global optimization over continuous spaces
    • R. Storn and K. Price. Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. Journal of global optimization, 11(4):341-359, 1997.
    • (1997) Journal of Global Optimization , vol.11 , Issue.4 , pp. 341-359
    • Storn, R.1    Price, K.2
  • 10
    • 27544473848 scopus 로고    scopus 로고
    • Algorithms for approximate calculation of the minimum of a convex function from its values
    • 10.1007/BF02312467
    • V. Protasov. Algorithms for approximate calculation of the minimum of a convex function from its values. Mathematical Notes, 59:69-74, 1996. 10.1007/BF02312467.
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    • Raginsky, M.1    Rakhlin, A.2
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    • Optimal algorithms for online convex optimization with multi-point bandit feedback
    • A. Agarwal, O. Dekel, and L. Xiao. Optimal algorithms for online convex optimization with multi-point bandit feedback. In Conference on Learning Theory (COLT), 2010.
    • (2010) Conference on Learning Theory (COLT)
    • Agarwal, A.1    Dekel, O.2    Xiao, L.3
  • 24
    • 33750727664 scopus 로고    scopus 로고
    • Active learning in the non-realizable case
    • Springer
    • M. Kääriäinen. Active learning in the non-realizable case. In Algorithmic Learning Theory, pages 63-77. Springer, 2006.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.