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Variational Bayesian methods / Statistical models / Expectation–maximization algorithm / Dirichlet process / Gibbs sampling / Mixture model / Bayesian inference / Exponential family / Kullback–Leibler divergence / Statistics / Bayesian statistics / Statistical theory


Variational Inference for the Nested Chinese Restaurant Process Chong Wang Computer Science Department Princeton University
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Document Date: 2015-03-12 00:16:23

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City

Springer-Verlag / /

Company

M. Welling N. A. / ICANN / HCA / Monte Carlo / Neal / Google / Microsoft / /

Country

Jordan / /

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Facility

University of Toronto / /

IndustryTerm

variational inference algorithm / greedy search / distributed parallel processors / search criteria / variational algorithm / networks network / /

MusicGroup

Bishop / M. E. / C. M. / /

NaturalFeature

MT p(wi )p(vi / MT Eq / /

Organization

Royal Statistical Society / National Science Foundation / American Statistical Association / Department of Computer Science / Princeton University / National Academy of Sciences / University of Toronto / Ecole d’Ete de Probabilities de Saint / /

Person

C. M. Variational / Wc / J. Van Gael / Psy / David M. Blei / Chong Wang / /

Position

basic model for each path / Bishop / generative probabilistic model for tree structures / /

ProvinceOrState

New York / /

PublishedMedium

Psychological Review / Journal of the Royal Statistical Society / the Proceedings of the National Academy of Sciences / Journal of the American Statistical Association / the Journal of the ACM / /

Technology

variational inference algorithm / SMEM algorithm / variational algorithm / distributed parallel processors / recombination / /

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http /

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