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Volumn , Issue , 2013, Pages

Stochastic gradient Riemannian Langevin dynamics on the probability simplex

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; MONTE CARLO METHODS;

EID: 84898939739     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (267)

References (25)
  • 1
    • 84867125855 scopus 로고    scopus 로고
    • Bayesian posterior sampling via stochastic gradient fisher scoring
    • Sungjin Ahn, Anoop Korattikara Balan, and Max Welling, Bayesian posterior sampling via stochastic gradient fisher scoring., ICML, 2012.
    • (2012) ICML
    • Ahn, S.1    Korattikara Balan, A.2    Welling, M.3
  • 3
    • 0029587111 scopus 로고
    • Information geometry of the em and em algorithms for neural networks
    • S. Amari, Information geometry of the EM and em algorithms for neural networks, Neural Networks 8 (1995), no. 9, 1379-1408.
    • (1995) Neural Networks , vol.8 , Issue.9 , pp. 1379-1408
    • Amari, S.1
  • 12
    • 0002370418 scopus 로고    scopus 로고
    • A tutorial on learning with bayesian networks
    • M. I. Jordan, ed. Kluwer Academic Publishers
    • D. Heckerman, A tutorial on learning with Bayesian networks, Learning in Graphical Models (M. I. Jordan, ed.), Kluwer Academic Publishers, 1999.
    • (1999) Learning in Graphical Models
    • Heckerman, D.1
  • 17
    • 79251576558 scopus 로고    scopus 로고
    • MCMC using Hamiltonian dynamics
    • S. Brooks, A. Gelman, G. Jones, and X.-L. Meng, eds., Chapman & Hall / CRC Press
    • R. M. Neal, MCMC using Hamiltonian dynamics, Handbook of Markov Chain Monte Carlo (S. Brooks, A. Gelman, G. Jones, and X.-L. Meng, eds.), Chapman & Hall / CRC Press, 2010.
    • (2010) Handbook of Markov Chain Monte Carlo
    • Neal, R.M.1
  • 18
    • 0034118493 scopus 로고    scopus 로고
    • Inference of population structure using multilocus genotype data
    • J.K. Pritchard, M. Stephens, and P. Donnelly, Inference of population structure using multilocus genotype data, Genetics 155 (2000), 945-959.
    • (2000) Genetics , vol.155 , pp. 945-959
    • Pritchard, J.K.1    Stephens, M.2    Donnelly, P.3
  • 20
    • 15244341043 scopus 로고    scopus 로고
    • Langevin diffusions and metropolis-hastings algorithms
    • 10.1023/A: 1023562417138
    • G. O. Roberts and O. Stramer, Langevin diffusions and metropolis-hastings algorithms, Methodology and Computing in Applied Probability 4 (2002), 337-357, 10.1023/A:1023562417138.
    • (2002) Methodology and Computing in Applied Probability , vol.4 , pp. 337-357
    • Roberts, G.O.1    Stramer, O.2
  • 21
    • 0000147488 scopus 로고    scopus 로고
    • Online model selection based on the variational Bayes
    • M. Sato, Online model selection based on the variational Bayes, Neural Computation 13 (2001), 1649-1681.
    • (2001) Neural Computation , vol.13 , pp. 1649-1681
    • Sato, M.1
  • 22
    • 84864061876 scopus 로고    scopus 로고
    • A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation
    • Y.W. Teh, D. Newman, and M.Welling, A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation, Advances in Neural Information Processing Systems, vol. 19, 2007, pp. 1353-1360.
    • (2007) Advances in Neural Information Processing Systems , vol.19 , pp. 1353-1360
    • Teh, Y.W.1    Newman, D.2    Welling, M.3
  • 23
    • 65749118363 scopus 로고    scopus 로고
    • Graphical models, exponential families, and variational inference
    • M. J. Wainwright and M. I. Jordan, Graphical models, exponential families, and variational inference, Foundations and Trends in Machine Learning 1 (2008), no. 1-2, 1-305.
    • (2008) Foundations and Trends in Machine Learning , vol.1 , Issue.1-2 , pp. 1-305
    • Wainwright, M.J.1    Jordan, M.I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.