Exploring Approximate Inference Using Expectation Propagation

Exploring Approximate Inference Using Expectation Propagation reveals several interesting facts.

  • Graphical models such as Markov random fields have been successfully applied to a wide variety of fields, from computer vision ...
  • Offline Neural Network Training ...
  • NIPS 2016 Workshop: Advances in
  • Xavier Sumba (Concordia University) and Nizar Bouguila (Concordia University).
  • Okay today I will talk about the power EP is called Power exponential

In-Depth Information on Approximate Inference Using Expectation Propagation

Shuang gave a nice talk on EP. video summarizing TMLR paper available at https://openreview.net/forum?id=xyt4wfdo4J. Abstract: The Paper Club with Arvid - Expectation Propagation for Approximate Bayesian Inference

NPFL108: Lecture 4 - Expectation - Propagation algorithm by José Miguel Hernández Lobato

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