Questions Tagged With variational-inference - MetaOptimize Q+A

Questions Tagged With variational-inference

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Difference between mean field approximation and variational inference

Dec 15 '12 at 05:39 Oscar Täckström1894 (asked by Leon Palafox3805 )

mean-field variational-inference

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choosing an inference method

Apr 12 '12 at 20:10 Alexandre Passos ♦23016 (asked by ccb1 )

inference gibbs-sampling sampling gibbs variational-inference mcmc

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The effect of coupling in original LDA that causes intractability.

Jul 07 '11 at 05:34 Bahr6

lda variational-inference coupling intractability

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Variational Logistic Regression

Jun 02 '11 at 01:11 Leon Palafox3805

logistic-regression variational-inference

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Where is my mistake, or can the variational lower-bound on the log-likelihood be zero?

Apr 01 '11 at 06:04 Alexandre Passos ♦23016

bayesian graphical-models variational-inference

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Empirical vs variational Bayes

Mar 13 '11 at 08:11 Philemon Brakel2300

bayesian approximate-inference empirical-bayes variational-inference

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Variational Mixture of Gaussians

Feb 17 '11 at 07:14 Andreas Mueller2311 (asked by Leon Palafox3805 )

gaussian variational-inference

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How can I write the density function of the dirichlet process?

Feb 09 '11 at 09:54 Philemon Brakel2300 (asked by Alexandre Passos ♦23016 )

bayesian dirichlet-process mixture variational-inference

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On the expectations necessary to do variational inference for LDA

Dec 30 '10 at 03:36 Alexandre Passos ♦23016

lda topic-models derivation-help variational-inference

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About the original variational LDA algorithm

Dec 03 '10 at 07:04 Alexandre Passos ♦23016

lda paper-understanding variational-inference

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The choice of MCMC and Variational Inference

Oct 01 '10 at 10:50 Joseph Turian ♦♦5400 (asked by Liangjie Hong241 )

variational-inference mcmc gibbs sampling

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Alternatives to MCMC and/or maximum likelihood for deep architectures?

Aug 31 '10 at 23:36 Truyen Tran1 (asked by jbowlan106 )

mcmc variational-inference message-passing maximum-likelihood deep-learning l1 belief-propagation

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Why are coordinate ascent algorithms (EM, variational EM) preferred over gradient methods for generative probabilistic models?

Aug 11 '10 at 06:29 Alexandre Passos ♦23016

bayesian em newton optimization variational-inference

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Which language/framework do you use to implement (directed) graphical models?

Jul 31 '10 at 00:48 yoavg726 (asked by Alexandre Passos ♦23016 )

libraries graphical-models mcmc language variational-inference

14questions tagged variational-inference

25answers

Questions are sorted by the time of last update.

Tags

lda × 89
optimization × 89
bayesian × 62
sampling × 48
deep-learning × 44
logistic-regression × 43
graphical-models × 36
topic-models × 36
gibbs-sampling × 23
inference × 23
mcmc × 21
em × 17
mixture × 17
dirichlet-process × 15
variational-inference × 14
l1 × 13
gaussian × 12
language × 11
paper-understanding × 11
gibbs × 10
libraries × 10
belief-propagation × 9
maximum-likelihood × 8
mean-field × 4
approximate-inference × 3
newton × 3
message-passing × 2
coupling × 1
derivation-help × 1
empirical-bayes × 1
intractability × 1

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