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Volumn 30, Issue , 2013, Pages 993-1019

Online learning with predictable sequences

Author keywords

[No Author keywords available]

Indexed keywords

OPTIMIZATION;

EID: 84898022795     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (307)

References (16)
  • 1
    • 70349292074 scopus 로고    scopus 로고
    • Beating the adaptive bandit with high probability
    • EECS Department, University of California, Berkeley, Jan
    • J. Abernethy and A. Rakhlin. Beating the adaptive bandit with high probability. Technical Report UCB/EECS-2009-10, EECS Department, University of California, Berkeley, Jan 2009.
    • (2009) Technical Report UCB/EECS-2009-10
    • Abernethy, J.1    Rakhlin, A.2
  • 3
    • 84862535425 scopus 로고    scopus 로고
    • Interior-point methods for full-information and bandit online learning
    • IEEE Transactions on
    • J.D. Abernethy, E. Hazan, and A. Rakhlin. Interior-point methods for full-information and bandit online learning. Information Theory, IEEE Transactions on, 58(7): 4164-4175, 2012.
    • (2012) Information Theory , vol.58 , Issue.7 , pp. 4164-4175
    • Abernethy, J.D.1    Hazan, E.2    Rakhlin, A.3
  • 6
    • 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(3): 167-175, 2003.
    • (2003) Operations Research Letters , vol.31 , Issue.3 , pp. 167-175
    • Beck, A.1    Teboulle, M.2
  • 8
    • 33847624608 scopus 로고    scopus 로고
    • Improved second-order bounds for prediction with expert advice
    • N. Cesa-Bianchi, Y. Mansour, and G. Stoltz. Improved second-order bounds for prediction with expert advice. Machine Learning, 66(2): 321-352, 2007.
    • (2007) Machine Learning , vol.66 , Issue.2 , pp. 321-352
    • Cesa-Bianchi, N.1    Mansour, Y.2    Stoltz, G.3
  • 11
    • 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, 80(2): 165-188, 2010.
    • (2010) Machine Learning , vol.80 , Issue.2 , pp. 165-188
    • Hazan, E.1    Kale, S.2
  • 12
    • 58149374383 scopus 로고    scopus 로고
    • Interior-point methods for optimization
    • A.S. Nemirovski and M.J. Todd. Interior-point methods for optimization. Acta Numerica, 17(1): 191-234, 2008.
    • (2008) Acta Numerica , vol.17 , Issue.1 , pp. 191-234
    • Nemirovski, A.S.1    Todd, M.J.2
  • 14
    • 85162027798 scopus 로고    scopus 로고
    • Online learning: Random averages, combinatorial parameters, and learnability
    • A. Rakhlin, K. Sridharan, and A. Tewari. Online learning: Random averages, combinatorial parameters, and learnability. In NIPS, 2010. Available at http://arXiv.org/abs/1006.1138.
    • (2010) NIPS
    • Rakhlin, A.1    Sridharan, K.2    Tewari, A.3
  • 15
    • 85162441071 scopus 로고    scopus 로고
    • Online learning: Stochastic, constrained, and smoothed adversaries
    • A. Rakhlin, K. Sridharan, and A. Tewari. Online learning: Stochastic, constrained, and smoothed adversaries. In NIPS, 2011. Available at http://arXiv.org/abs/1104.5070.
    • (2011) NIPS
    • Rakhlin, A.1    Sridharan, K.2    Tewari, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.