The paper derives α-BP, a message-passing algorithm that minimizes a localized α-divergence, and reports that it can beat loopy BP in MAP inference on loopy graphs.
Divergence measures and message passing,
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$\alpha$ Belief Propagation as Fully Factorized Approximation
The paper derives α-BP, a message-passing algorithm that minimizes a localized α-divergence, and reports that it can beat loopy BP in MAP inference on loopy graphs.