Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models

27 Jul 2017Ankit AnandRitesh NoothigattuParag SinglaMausam

Lifted inference algorithms commonly exploit symmetries in a probabilistic graphical model (PGM) for efficient inference. However, existing algorithms for Boolean-valued domains can identify only those pairs of states as symmetric, in which the number of ones and zeros match exactly (count symmetries)... (read more)

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