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Partition Function Estimation: A Quantitative Study

Published in Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence • Aug 1, 2021
NobleIDNI7P27W86R91S10
Authors:
Durgesh Agrawal
,
Yash Pote
,
Kuldeep S. Meel

Abstract

Probabilistic graphical models have emerged as a powerful modeling tool for several real-world scenarios where one needs to reason under uncertainty. A graphical model's partition function is a central quantity of interest, and its computation is key to several probabilistic reasoning tasks. Given t...

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