Estimation and Marginalization Using the Kikuchi Approximation Methods

  title={Estimation and Marginalization Using the Kikuchi Approximation Methods},
  author={Payam Pakzad and Venkat Anantharam},
  journal={Neural Computation},
In this letter, we examine a general method of approximation, known as the Kikuchi approximation method, for finding the marginals of a product distribution, as well as the corresponding partition function. The Kikuchi approximation method defines a certain constrained optimization problem, called the Kikuchi problem, and treats its stationary points as approximations to the desired marginals. We show how to associate a graph to any Kikuchi problem and describe a class of local message-passing… CONTINUE READING
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