Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization

摘要

There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From a computational perspective, Gibbs sampling boils down to repeatedly executing certai