Symmetry-Aware Marginal Density Estimation

Mathias Niepert

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arXiv · 1304.2694

Symmetry-Aware Marginal Density Estimation

Mathias Niepert

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Abstract

The Rao-Blackwell theorem is utilized to analyze and improve the scalability of inference in large probabilistic models that exhibit symmetries. A novel marginal density estimator is introduced and shown both analytically and empirically to outperform standard estimators by several orders of magnitude. The developed theory and algorithms apply to a broad class of probabilistic models including statistical relational models considered not susceptible to lifted probabilistic inference.

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Mathias Niepert. 2013-04-09. Symmetry-Aware Marginal Density Estimation. https://arxiv.org/abs/1304.2694

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