Improving on Expectation Propagation
Part of: Advances in Neural Information Processing Systems 21 (NIPS 2008)
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Abstract
We develop as series of corrections to 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.