메뉴 건너뛰기




Volumn 2, Issue , 2003, Pages 928-935

Online Convex Programming and Generalized Infinitesimal Gradient Ascent

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COSTS; ERROR ANALYSIS; FUNCTIONS; LEAST SQUARES APPROXIMATIONS; OPTIMIZATION; PROBABILITY; PROBLEM SOLVING; REGRESSION ANALYSIS;

EID: 1942484421     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2571)

References (27)
  • 1
    • 0000396062 scopus 로고    scopus 로고
    • Natural gradient works efficiently in learning
    • Amari, S. (1998). Natural gradient works efficiently in learning. Neural Computation, 10, 251-276.
    • (1998) Neural Computation , vol.10 , pp. 251-276
    • Amari, S.1
  • 3
    • 84972545864 scopus 로고
    • An analog of the minimax theorem for vector payoffs
    • Blackwell, D. (1956). An analog of the minimax theorem for vector payoffs. South Pacific J. of Mathematics, 1-8.
    • (1956) South Pacific J. of Mathematics , pp. 1-8
    • Blackwell, D.1
  • 8
    • 0030145382 scopus 로고
    • Worst-case quadratic bounds for on-line prediction of linear functions by gradient descent
    • Cesa-Bianchi, N., Long, P., & Warmuth, M. K. (1994). Worst-case quadratic bounds for on-line prediction of linear functions by gradient descent. IEEE Transactions on Neural Networks, 7, 604-619.
    • (1994) IEEE Transactions on Neural Networks , vol.7 , pp. 604-619
    • Cesa-Bianchi, N.1    Long, P.2    Warmuth, M.K.3
  • 10
    • 0042186389 scopus 로고    scopus 로고
    • A proof of calibration via Black-well's approachability theorem
    • Foster, D. (1999). A proof of calibration via Black-well's approachability theorem. Games and Economic Behavior (pp. 73-79).
    • (1999) Games and Economic Behavior , pp. 73-79
    • Foster, D.1
  • 11
    • 0002476325 scopus 로고    scopus 로고
    • Regret in the on-line decision problem
    • Foster, D., & Vohra, R. (1999). Regret in the on-line decision problem. Games and Economic Behavior, 29, 7-35.
    • (1999) Games and Economic Behavior , vol.29 , pp. 7-35
    • Foster, D.1    Vohra, R.2
  • 12
    • 0002267135 scopus 로고    scopus 로고
    • Adaptive game playing using multiplicative weights
    • Freund, Y., & Schapire, R. (1999). Adaptive game playing using multiplicative weights. Games and Economic Behavior (pp. 79-103).
    • (1999) Games and Economic Behavior , pp. 79-103
    • Freund, Y.1    Schapire, R.2
  • 16
    • 0001976283 scopus 로고
    • Approximation to bayes risk in repeated play
    • Hannan, J. (1957). Approximation to bayes risk in repeated play. Annals of Mathematics Studies, 39, 97-139.
    • (1957) Annals of Mathematics Studies , vol.39 , pp. 97-139
    • Hannan, J.1
  • 17
    • 0000908510 scopus 로고    scopus 로고
    • A simple adaptive procedure leading to correlated equilibrium
    • Hart, S., & Mas-Colell, A. (2000). A simple adaptive procedure leading to correlated equilibrium. Econometrica, 68, 1127-1150.
    • (2000) Econometrica , vol.68 , pp. 1127-1150
    • Hart, S.1    Mas-Colell, A.2
  • 18
  • 22
    • 0008815681 scopus 로고    scopus 로고
    • Exponentiated gradient versus gradient descent for linear predictors
    • Kivinen, J., & Warmuth, M. (1997). Exponentiated gradient versus gradient descent for linear predictors. Information and Computation, 132, 1-64.
    • (1997) Information and Computation , vol.132 , pp. 1-64
    • Kivinen, J.1    Warmuth, M.2
  • 23
    • 0035575628 scopus 로고    scopus 로고
    • Relative loss bounds for multidimensional regression problems
    • Kivinen, J., & Warmuth, M. (2001). Relative loss bounds for multidimensional regression problems. Machine Learning Journal, 45, 301-329.
    • (2001) Machine Learning Journal , vol.45 , pp. 301-329
    • Kivinen, J.1    Warmuth, M.2
  • 25
    • 0000475273 scopus 로고    scopus 로고
    • Prior knowledge and preferential structures in gradient descent algorithms
    • Mahony, R., & Williamson, R. (2001). Prior knowledge and preferential structures in gradient descent algorithms. Journal of Machine Learning Research, 1, 311-355.
    • (2001) Journal of Machine Learning Research , vol.1 , pp. 311-355
    • Mahony, R.1    Williamson, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.