Variational Gaussian Process thumbnail
Pause
Mute
Subtitles not available
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

Variational Gaussian Process

Published on May 27, 20163155 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

Related categories

Chapter list

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