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Volumn , Issue , 2008, Pages 335-341

High-probability regret bounds for bandit online linear optimization

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ADVERSARY; HIGH PROBABILITY; OBLIVIOUS ADVERSARIES; ONLINE LINEAR OPTIMIZATIONS; OPTIMISTIC ESTIMATES; REGRET BOUNDS;

EID: 80555137396     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (106)

References (15)
  • 8
    • 85162050055 scopus 로고    scopus 로고
    • The price of bandit information for online optimization
    • J. C. Platt, D. Koller, Y. Singer, and S. Roweis, editors MIT Press
    • Varsha Dani, Thomas P. Hayes, and Sham M. Kakade. The price of bandit information for online optimization. In J. C. Platt, D. Koller, Y. Singer, and S. Roweis, editors, Advances in Neural Information Processing Systems 20 (NIPS 2007). MIT Press, 2008.
    • (2008) Advances in Neural Information Processing Systems 20 (NIPS 2007)
    • Dani, V.1    Hayes, T.P.2    Kakade, S.M.3
  • 10
    • 0002384441 scopus 로고
    • On tail probabilities for martingales
    • Feb
    • David A. Freedman. On tail probabilities for martingales. The Annals of Probability, 3(1): 100-118, Feb 1975.
    • (1975) The Annals of Probability , vol.3 , Issue.1 , pp. 100-118
    • Freedman, D.A.1
  • 12
    • 24644463787 scopus 로고    scopus 로고
    • Efficient algorithms for online decision problems
    • Adam Kalai and Santosh Vempala. Efficient algorithms for online decision problems. Journal of Computer and System Sciences, 71(3): 291-307, 2005.
    • (2005) Journal of Computer and System Sciences , vol.71 , Issue.3 , pp. 291-307
    • Kalai, A.1    Vempala, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.