Partition Function Estimation: A Quantitative Study

  title={Partition Function Estimation: A Quantitative Study},
  author={Durgesh Kumar Agrawal and Yash Pote and Kuldeep S. Meel},
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 the #Phardness of computing the partition function, several techniques have been proposed over the years with varying guarantees on the quality of estimates and their runtime behavior. This paper… 

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