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Volumn 38, Issue , 2015, Pages 398-406

Online optimization: Competing with dynamic comparators

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPARATOR CIRCUITS; COST FUNCTIONS; GAME THEORY;

EID: 84954327378     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (300)

References (18)
  • 2
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Y. Freund and R. E. Schapire, "A decision-theoretic generalization of on-line learning and an application to boosting, " Journal of computer and system sciences, vol. 55, no. 1, pp. 119-139, 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 3
    • 1942484421 scopus 로고    scopus 로고
    • Online convex programming and generalized infinitesimal gradient ascent
    • M. Zinkevich, "Online convex programming and generalized infinitesimal gradient ascent, " in International Conference on Machine Learning, 2003.
    • (2003) International Conference on Machine Learning
    • Zinkevich, M.1
  • 4
    • 35348918820 scopus 로고    scopus 로고
    • Logarithmic regret algorithms for online convex optimization
    • E. Hazan, A. Agarwal, and S. Kale, "Logarithmic regret algorithms for online convex optimization, " Ma. chine Learning, vol. 69, no. 2-3, pp. 169-192, 2007.
    • (2007) Machine Learning , vol.69 , Issue.2-3 , pp. 169-192
    • Hazan, E.1    Agarwal, A.2    Kale, S.3
  • 12
    • 77955655739 scopus 로고    scopus 로고
    • Extracting certainty from uncertainty: Regret bounded by variation in costs
    • E. Hazan and S. Kale, "Extracting certainty from uncertainty: Regret bounded by variation in costs, " Machine learning, vol. 80, no. 2-3, pp. 165-188, 2010.
    • (2010) Machine Learning , vol.80 , Issue.2-3 , pp. 165-188
    • Hazan, E.1    Kale, S.2
  • 17
    • 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, vol. 31, no. 3, pp. 167-175, 2003.
    • (2003) Operations Research Letters , vol.31 , Issue.3 , pp. 167-175
    • Beck, A.1    Teboulle, M.2
  • 18
    • 14944353419 scopus 로고    scopus 로고
    • Prox-method with rate of convergence o (1/t) for variational inequalities with lipschitz continuous monotone operators and smooth convex-concave saddle point problems
    • A. Nemirovski, "Prox-method with rate of convergence o (1/t) for variational inequalities with lipschitz continuous monotone operators and smooth convex-concave saddle point problems, " SIAM Journal on Optimization, vol. 15, no. 1, pp. 229-251, 2004.
    • (2004) SIAM Journal on Optimization , vol.15 , Issue.1 , pp. 229-251
    • Nemirovski, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.