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Parameter Estimation for the Latent Dirichlet Allocation
Published on 2013-10-304887 Views
We review three algorithms for parameter estimation of the Latent Dirichlet Allocation model: batch variational Bayesian inference, online variational Bayesian inference and inference using collapsed
Presentation
Parameter Estimation for the Latent Dirichlet Allocation00:00
LDA model - 114:23:55
LDA model - 214:50:20
LDA model - 330:54:58
LDA model - 440:57:37
LDA model - 549:08:14
LDA model - 658:33:24
LDA model - 762:00:34
LDA model - 866:37:20
Algorithms - 172:06:25
Algorithms - 273:16:20
Collapsed Gibbs Sampling - 176:51:44
Collapsed Gibbs Sampling - 277:32:16
Collapsed Gibbs Sampling - 382:52:39
Collapsed Gibbs Sampling - 486:12:55
Collapsed Gibbs Sampling - 593:22:33
Collapsed Gibbs Sampling - 696:29:13
Collapsed Gibbs Sampling - 7100:31:44
Collapsed Gibbs Sampling - 8103:28:20
Variational Bayesian Inference - 1107:22:28
Variational Bayesian Inference - 2109:25:30
VB: Initial State123:03:27
VB: Step 1134:25:26
VB: Step 2139:49:43
VB: Step 3141:35:18
VB: Step 4142:00:49
Online Variational Bayesian Inference146:29:10
Online VB: Initial Step156:46:34
Online VB: Step 1161:58:36
Online VB: Step 2165:57:34
Online VB: Step 3168:06:15
Online VB: Step 4170:02:34
Online VB: Step 5171:10:41
Online VB: Step 6171:47:47
Comparison172:24:15
Comparison: Time174:55:53
Comparison: Bound on Perplexity188:27:34
Algoritms, live demo on http://lda.ijs.si215:08:46