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Variational Gaussian Process
Published on May 27, 20163157 Views
Variational inference is a powerful tool for approximate inference, and it has been recently applied for representation learning with deep generative models. We develop the variational Gaussian proces
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The Variational Gaussian Process00:00
Task of Topic Modelling - 100:07
Task of Topic Modelling - 201:46
Task of Topic Modelling - 302:20
Variational inference 03:08
Background - 104:46
Background - 205:36
Expressive Model - 107:01
Expressive Model - 207:29
Variational models07:54
Prior: Gaussian processes08:46
Variational Gaussian process - 110:29
Variational Gaussian process - 211:52
Variational Gaussian process - 312:19
Black box inference13:01
Experiments: Bayesian neural network13:44
Experiments: Binarized MNIST14:34
Summary15:33
Code is available15:48