Variational methods

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• Inference Group
• Monday 12 November 2007, 11:15-12:15
• TCM Seminar Room, Cavendish Laboratory, Department of Physics.

If you have a question about this talk, please contact Carl Scheffler.

This discussion follows last week’s on loopy belief propagation. This week we will look at variational methods for approximate inference.

References:

• John Winn’s Ph.D. thesis: Variational Message Passing and its Applications
• Chapter 10 of Christopher Bishop’s book: “Pattern Recognition and Machine Learning”

This talk is part of the Machine Learning Journal Club series.

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