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Nonparametric Variational Inference
Published on Jan 16, 20134671 Views
Variational methods are widely used for approximate posterior inference. However, their use is typically limited to families of distributions that enjoy particular conjugacy properties. To circumvent
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Chapter list
Nonparametric Variational Inference00:00
Approximate inference00:22
Variational inference00:48
Variational inference: the agony and the ecstasy01:38
Nonparametric variational inference03:04
Our approach (1)04:09
Our approach (2)05:06
The basic idea07:23
Entropy bound08:01
Log-joint bound09:00
Approximate ELBO10:24
Optimizing the approximate ELBO13:41
Relationships to other algorithms16:55
Synthetic example19:50
Logistic regression: NPV vs. Jordan & Jaakkola21:12
Topographic latent source analysis: NPV vs. MAP and MCMC24:11
Summary26:57
Future work27:25