Informed lifting for message-passing

@inproceedings{Kersting2010InformedLF,
  title={Informed lifting for message-passing},
  author={Kristian Kersting and Youssef El Massaoudi and Fabian Hadiji and Babak Ahmadi},
  booktitle={AAAI 2010},
  year={2010}
}
Lifted inference, handling whole sets of indistinguishable objects together, is critical to the effective application of probabilistic relational models to realistic real world tasks. Recently, lifted belief propagation (LBP) has been proposed as an efficient approximate solution of this inference problem. It runs a modified BP on a lifted network where nodes have been grouped together if they have — roughly speaking — identical computation trees, the tree-structured unrolling of the underlying… CONTINUE READING
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