Expectation propagation

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Expectation propagation (EP) is a technique in Bayesian machine learning.

EP finds approximations to a probability distribution. It uses an iterative approach that leverages the factorization structure of the target distribution. It differs from other Bayesian approximation approaches such as Variational Bayesian methods.

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