Bayesian Research Kitchen

The Wordsworth Hotel, Grasmere, Ambleside, Lake District, United Kingdom
05 - 07 September 2008

Registration

To register for the workshop click here.

The workshop will provide a forum to discuss Bayesian inference in machine learning. A particular focus will be on how Bayesian inference can be used to encode prior knowledge.

The workshop is part of the PASCAL FP7 Thematic Programme on "Leveraging Complex Prior Knowledge for Learning".

Schedule

Accommodation

Important Dates

Workshop Finished

The workshop is now over. This page is maintained as a record of the workshop with links to slides and videos of the talks.

Motivation

The main aim of this workshop is to allow leading Bayesian researchers in machine learning to get together presenting their latest ideas and discussing future directions.

Themes

Incorporating Complex Prior Knowledge in Bayesian inference, for example mechanistic models (such as differential equations) or knowledge transfered from other related situations (e.g. hierarchical Dirichlet Processes).
Model mismatch: the Bayesian lynch pin is that the model is correct, but it rarely is.
Approximation techniques: how should we do Bayesian inference in practice. Sampling, variational, Laplace or something else?
Your pet Bayesian issue here.

Programme Committee

Getting There

The workshop is sponsored by EU FP7 PASCAL II Network of Excellence and Microsoft Research, Cambridge, .

Page last updated on Wednesday 24 Sep 2008 at 08:24 by Neil D. Lawrence