Lifted inference for probabilistic programming (bibtex)
by Wannes Meert, Guy Van den Broeck, Nima Taghipour, Daan Fierens, Hendrik Blockeel, Jesse Davis and Luc De Raedt
Abstract:
A probabilistic program often gives rise to a complicated underlying probabilistic model. Performing inference in such a model is challenging. One solution to this problem is lifted inference which improves tractability by exploiting symmetries in the underlying model. Our group is pursuing a lifted approach to inference for probabilistic logic programs.
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Reference:
Wannes Meert, Guy Van den Broeck, Nima Taghipour, Daan Fierens, Hendrik Blockeel, Jesse Davis and Luc De Raedt. Lifted inference for probabilistic programming, In Proceedings of the NIPS Probabilistic Programming Workshop,, 2012.
Bibtex Entry:
@inproceedings{MeertPP12,
author = "Meert, Wannes and Van den Broeck, Guy and Taghipour, Nima and Fierens, Daan and Blockeel, Hendrik and Davis, Jesse and De Raedt, Luc",
title = "Lifted inference for probabilistic programming",
booktitle = "Proceedings of the NIPS Probabilistic Programming Workshop, ",
month = Dec,
year = "2012",
url = "http://starai.cs.ucla.edu/papers/MeertPP12.pdf",
keywords = {workshop}
}PDF Preview:
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