Block-Value Symmetries in Probabilistic Graphical Models

Gagan Madan
Gagan Madan

UAI, 2018.

Cited by: 1|Bibtex|Views36|Links
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Abstract:

Several lifted inference algorithms for probabilistic graphical models first merge symmetric states into a single cluster (orbit) and then use these for downstream inference, via variations of orbital MCMC. These orbits are represented compactly using permutations over variables, and variable-value (VV) pairs, but these can miss several s...More

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