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Volumn , Issue , 2011, Pages

On the universality of online Mirror Descent

Author keywords

[No Author keywords available]

Indexed keywords

GENERAL CLASS; LEARNING PROBLEM; ONLINE LEARNING; OPTIMAL REGRET;

EID: 85162306148     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (127)

References (28)
  • 3
    • 0000810838 scopus 로고
    • Sharp uniform convexity and smoothness inequalities for trace norms
    • Keith Ball, Eric A. Carlen, and Elliott H. Lieb. Sharp uniform convexity and smoothness inequalities for trace norms. Invent. Math., 115:463-482, 1994.
    • (1994) Invent. Math. , vol.115 , pp. 463-482
    • Ball, K.1    Carlen, E.A.2    Lieb, E.H.3
  • 4
    • 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
  • 5
    • 0000430986 scopus 로고
    • The perceptron: A model for brain functioning
    • Reprinted in "Neurocomputing" by Anderson and Rosenfeld
    • H. D. Block. The perceptron: A model for brain functioning. Reviews of Modern Physics, 34:123-135, 1962. Reprinted in "Neurocomputing" by Anderson and Rosenfeld.
    • (1962) Reviews of Modern Physics , vol.34 , pp. 123-135
    • Block, H.D.1
  • 8
    • 85162062975 scopus 로고    scopus 로고
    • A dirty model for multi-task learning
    • December
    • Ali Jalali, Pradeep Ravikumar, Sujay Sanghavi, and Chao Ruan. A Dirty Model for Multi-task Learning. In NIPS, December 2010.
    • (2010) NIPS
    • Jalali, A.1    Ravikumar, P.2    Sanghavi, S.3    Ruan, C.4
  • 9
    • 70450197241 scopus 로고    scopus 로고
    • Stochastic approximation approach to stochastic programming
    • A. Juditsky, G. Lan, A. Nemirovski, and A. Shapiro. Stochastic approximation approach to stochastic programming. SIAM J. Optim, 19(4):1574-1609, 2009.
    • (2009) SIAM J. Optim , vol.19 , Issue.4 , pp. 1574-1609
    • Juditsky, A.1    Lan, G.2    Nemirovski, A.3    Shapiro, A.4
  • 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
  • 13
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
    • N. Littlestone. Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm. Machine Learning, 2:285-318, 1988.
    • (1988) Machine Learning , vol.2 , pp. 285-318
    • Littlestone, N.1
  • 14
    • 4043065592 scopus 로고
    • On cesaro's convergence of the gradient descent method for finding saddle points of convex-concave functions
    • A. Nemirovski and D. Yudin. On cesaro's convergence of the gradient descent method for finding saddle points of convex-concave functions. Doklady Akademii Nauk SSSR, 239(4), 1978.
    • (1978) Doklady Akademii Nauk SSSR , vol.239 , Issue.4
    • Nemirovski, A.1    Yudin, D.2
  • 16
    • 51249189713 scopus 로고
    • Martingales with values in uniformly convex spaces
    • G. Pisier. Martingales with values in uniformly convex spaces. Israel Journal of Mathematics, 20(3-4):326-350, 1975.
    • (1975) Israel Journal of Mathematics , vol.20 , Issue.3-4 , pp. 326-350
    • Pisier, G.1
  • 18
    • 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. NIPS, 2010.
    • (2010) NIPS
    • Rakhlin, A.1    Sridharan, K.2    Tewari, A.3
  • 23
    • 84919898301 scopus 로고    scopus 로고
    • Stochastic optimization for machine learning
    • tutorial
    • Nathan Srebro and Ambuj Tewari. Stochastic optimization for machine learning. In ICML 2010, tutorial, 2010.
    • (2010) ICML 2010
    • Srebro, N.1    Tewari, A.2
  • 27
    • 1942484421 scopus 로고    scopus 로고
    • Online convex programming and generalized infinitesimal gradient ascent
    • M. Zinkevich. Online convex programming and generalized infinitesimal gradient ascent. In ICML, 2003.
    • (2003) ICML
    • Zinkevich, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.