PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Improving on Expectation Propagation
M Opper, U Paquet and O Winther
In: Advances in Neural Information Processing Systems (NIPS) 2008, 8-13 Dec 2008, Vancouver.

Abstract

A series of corrections is developed for the fixed points of Expectation Propagation (EP), which is one of the most popular methods for approximate probabilistic inference. These corrections can lead to improvements of the inference approximation or serve as a sanity check, indicating when EP yields unrealiable results.

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EPrint Type:Conference or Workshop Item (Spotlight)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
ID Code:5186
Deposited By:Ole Winther
Deposited On:24 March 2009