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Volumn , Issue , 2014, Pages

Auto-encoding variational bayes

Author keywords

[No Author keywords available]

Indexed keywords

GRADIENT METHODS; INFERENCE ENGINES; LEARNING ALGORITHMS; PROBABILITY DISTRIBUTIONS; SIGNAL ENCODING; STOCHASTIC SYSTEMS;

EID: 85083952489     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13945)

References (17)
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    • 80052250414 scopus 로고    scopus 로고
    • Adaptive subgradient methods for online learning and stochastic optimization
    • John Duchi, Elad Hazan, and Yoram Singer. Adaptive subgradient methods for online learning and stochastic optimization. Journal of Machine Learning Research, 12:2121–2159, 2010.
    • (2010) Journal of Machine Learning Research , vol.12 , pp. 2121-2159
    • Duchi, J.1    Hazan, E.2    Singer, Y.3
  • 9
    • 0029652445 scopus 로고
    • The” wake-sleep” algorithm for unsupervised neural networks
    • Geoffrey E Hinton, Peter Dayan, Brendan J Frey, and Radford M Neal. The” wake-sleep” algorithm for unsupervised neural networks. SCIENCE, pages 1158–1158, 1995.
    • (1995) SCIENCE , pp. 1158
    • Hinton, G.E.1    Dayan, P.2    Frey, B.J.3    Neal, R.M.4
  • 10
    • 70049083257 scopus 로고    scopus 로고
    • Fast inference in sparse coding algorithms with applications to object recognition
    • Computational and Biological Learning Lab, Courant Institute, NYU
    • Koray Kavukcuoglu, Marc'Aurelio Ranzato, and Yann LeCun. Fast inference in sparse coding algorithms with applications to object recognition. Technical Report CBLL-TR-2008-12-01, Computational and Biological Learning Lab, Courant Institute, NYU, 2008.
    • (2008) Technical Report CBLL-TR-2008-12-01
    • Kavukcuoglu, K.1    Ranzato, M.2    LeCun, Y.3
  • 15
    • 84891700107 scopus 로고    scopus 로고
    • Fixed-form variational posterior approximation through stochastic linear regression
    • Tim Salimans and David A Knowles. Fixed-form variational posterior approximation through stochastic linear regression. Bayesian Analysis, 8(4), 2013.
    • (2013) Bayesian Analysis , vol.8 , Issue.4
    • Salimans, T.1    Knowles, D.A.2
  • 17
    • 79551480483 scopus 로고    scopus 로고
    • Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
    • Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, and Pierre-Antoine Manzagol. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. The Journal of Machine Learning Research, 9999:3371–3408, 2010.
    • (2010) The Journal of Machine Learning Research , vol.9999 , pp. 3371-3408
    • Vincent, P.1    Larochelle, H.2    Lajoie, I.3    Bengio, Y.4    Manzagol, P.-A.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.