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Volumn , Issue PART 2, 2013, Pages 957-965

An adaptive learning rate for stochastic variational inference

Author keywords

[No Author keywords available]

Indexed keywords

ITERATIVE METHODS; LEARNING ALGORITHMS; LEARNING SYSTEMS; STATISTICS; STOCHASTIC SYSTEMS;

EID: 84897505299     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (49)

References (19)
  • 1
    • 0000396062 scopus 로고    scopus 로고
    • Natural Gradient Works Efficiently in Learning
    • Amari, S. Natural gradient works efficiently in learning. Neural computation, 10(2):251-276, 1998. (Pubitemid 128463152)
    • (1998) Neural Computation , vol.10 , Issue.2 , pp. 251-276
    • Amari, S.-I.1
  • 8
    • 33748998787 scopus 로고    scopus 로고
    • Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming
    • DOI 10.1007/s10994-006-8365-9
    • George, A. and Powell, W. Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming. Machine learning, 65(1):167-198, 2006. (Pubitemid 44451197)
    • (2006) Machine Learning , vol.65 , Issue.1 , pp. 167-198
    • George, A.P.1    Powell, W.B.2
  • 13
    • 70450197241 scopus 로고    scopus 로고
    • Robust stochastic approximation approach to stochastic programming
    • Nemirovski, A., Juditsky, A., Lan, G., and Shapiro, A. Robust stochastic approximation approach to stochastic programming. SIAM Journal on Optimization, 19(4):1574-1609, 2009.
    • (2009) SIAM Journal on Optimization , vol.19 , Issue.4 , pp. 1574-1609
    • Nemirovski, A.1    Juditsky, A.2    Lan, G.3    Shapiro, A.4
  • 14
    • 84872504960 scopus 로고    scopus 로고
    • The discrete infinite logistic normal distribution
    • Paisley, J., Wang, C., and Blei, D. The discrete infinite logistic normal distribution. Bayesian Analysis, 7(2):235-272, 2012.
    • (2012) Bayesian Analysis , vol.7 , Issue.2 , pp. 235-272
    • Paisley, J.1    Wang, C.2    Blei, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.