Dual Decomposition from the Perspective of Relax, Compensate and then Recover

5 Apr 2015Arthur ChoiAdnan Darwiche

Relax, Compensate and then Recover (RCR) is a paradigm for approximate inference in probabilistic graphical models that has previously provided theoretical and practical insights on iterative belief propagation and some of its generalizations. In this paper, we characterize the technique of dual decomposition in the terms of RCR, viewing it as a specific way to compensate for relaxed equivalence constraints... (read more)

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