Symmetries in a probabilistic graphical model with a known number of constants allow for lifted inference to perform tractable problem solving given a liftable model and a liftable query. In this tutorial, we show how to retain properties of lifted inference even with an unknown set of constants as well as how to retain a liftable model by approximating symmetries while performing inference.
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