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NIPS '07 Workshop on Approximate Bayesian Inference in Continuous/Hybrid Models
Pascal

Introduction to the Workshop

author: Mathias Seeger, Max Planck Institute for Biological Cybernetics

Description

In this workshop, we aim to highlight important problems and to gather ideas of how to address them. The target audience are practitioners, providing insight into and analysis of problems with certain methods or comparative studies of several methods, as well as theoreticians interested in characterizing the hardness of continuous distributions or proving relevant properties of an established method.

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Slides
0:00 Approximate Bayesian Inference for Continuous/Hybrid Models
0:15 Variational Methods - 1
0:36 Variational Methods - 2
1:30 Variational Methods - 3
2:44 Variational Methods (II) - 1
3:00 Variational Methods - 3
3:06 Variational Methods (II) - 1
3:24 Variational Methods - 3
3:41 Variational Methods (II) - 1
3:55 Variational Methods (II) - 2
4:25 Variational Methods (II) - 3
4:59 Variational Methods (II) - 4
5:09 No Tractable Core Representation - 1
6:17 No Tractable Core Representation - 2
6:19 No Tractable Core Representation - 3
6:21 No Tractable Core Representation - 4
6:55 No Tractable Core Representation - 5
7:19 Intractable Local Computations - 1
7:57 Intractable Local Computations - 2
8:19 Intractable Local Computations - 3
8:27 Intractable Local Computations - 4
8:38 Problems, Problems - 1
9:08 Problems, Problems - 2
9:48 Problems, Problems - 3
10:03 Problems, Problems - 4
10:38 Outlook - 1
11:17 Outlook - 2
11:58 Outlook - 3
12:29 Outlook - 4

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