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Volumn 2, Issue , 2012, Pages 1599-1606

Sparse stochastic inference for latent Dirichlet allocation

Author keywords

[No Author keywords available]

Indexed keywords

GIBBS SAMPLING; HYBRID ALGORITHMS; LATENT DIRICHLET ALLOCATION; STOCHASTIC INFERENCE; TOPIC MODEL; VARIATIONAL INFERENCE;

EID: 84867121232     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (91)

References (18)
  • 2
    • 85162025823 scopus 로고    scopus 로고
    • Asynchronous distributed learning of topic models
    • Asuncion, Arthur, Smyth, Padhraic, and Welling, Max. Asynchronous distributed learning of topic models. In NIPS, 2008.
    • (2008) NIPS
    • Asuncion, A.1    Smyth, P.2    Welling, M.3
  • 7
    • 0033243858 scopus 로고    scopus 로고
    • Convergence of a stochastic approximation version of the EM algorithm
    • Delyon, Bernard, Lavielle, Marc, and Moulines, Eric. Convergence of a stochastic approximation version of the EM algorithm. Annals of Statistics, 27(1):94-128, 1999.
    • (1999) Annals of Statistics , vol.27 , Issue.1 , pp. 94-128
    • Delyon, B.1    Lavielle, M.2    Moulines, E.3
  • 8
    • 1842788824 scopus 로고    scopus 로고
    • Finding scientific topics
    • Griffiths, Thomas L. and Steyvers, Mark. Finding scientific topics. PNAS, 101(suppl. 1):5228-5235, 2004.
    • (2004) PNAS , vol.101 , Issue.SUPPL. 1 , pp. 5228-5235
    • Griffiths, T.L.1    Steyvers, M.2
  • 9
    • 85162005069 scopus 로고    scopus 로고
    • Online learning for latent dirichlet allocation
    • Hoffman, Matthew, Blei, David, and Bach, Francis. Online learning for latent dirichlet allocation. In NIPS, 2010.
    • (2010) NIPS
    • Hoffman, M.1    Blei, D.2    Bach, F.3
  • 10
    • 0033225865 scopus 로고    scopus 로고
    • Introduction to variational methods for graphical models
    • Jordan, Michael, Ghahramani, Zoubin, Jaakkola, Tommi, and Saul, Laurence. Introduction to variational methods for graphical models. Machine Learning, 37:183-233, 1999.
    • (1999) Machine Learning , vol.37 , pp. 183-233
    • Jordan, M.1    Ghahramani, Z.2    Jaakkola, T.3    Saul, L.4
  • 11
    • 13444249563 scopus 로고    scopus 로고
    • Coupling a stochastic approximation version of EM with an MCMC procedure
    • August
    • Kuhn, Estelle and Lavielle, Marc. Coupling a stochastic approximation version of EM with an MCMC procedure. ESAIM: Probability and Statistics, 8:115-131, August 2004.
    • (2004) ESAIM: Probability and Statistics , vol.8 , pp. 115-131
    • Kuhn, E.1    Lavielle, M.2
  • 15
    • 0000147488 scopus 로고    scopus 로고
    • Online model selection based on the variational Bayes
    • Sato, M.A. Online model selection based on the variational Bayes. Neural Computation, 13(7):1649-1681, 2001.
    • (2001) Neural Computation , vol.13 , Issue.7 , pp. 1649-1681
    • Sato, M.A.1
  • 16
    • 85057250999 scopus 로고    scopus 로고
    • A collapsed variational bayesian inference algorithm for latent dirichlet allocation
    • Teh, Yee-Whye, Newman, David, and Welling, Max. A collapsed variational bayesian inference algorithm for latent dirichlet allocation. In NIPS, 2006.
    • (2006) NIPS
    • Teh, Y.-W.1    Newman, D.2    Welling, M.3
  • 17
    • 84867114528 scopus 로고    scopus 로고
    • Larger residuals, less work: Active document scheduling for latent Dirichlet allocation
    • Wahabzada, Mirwaes and Kersting, Kristian. Larger residuals, less work: Active document scheduling for latent Dirichlet allocation. In ECML/PKDD, 2011.
    • (2011) ECML/PKDD
    • Wahabzada, M.1    Kersting, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.