On combining graph-based variance reduction schemes

author: Vibhav Gogate, Department of Computer Science and Engineering, University of Washington
published: June 7, 2010,   recorded: May 2010,   views: 3277
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Description

In this paper, we consider two variance reduction schemes that exploit the structure of the primal graph of the graphical model: Rao-Blackwellised w-cutset sampling and AND/OR sampling. We show that the two schemes are orthogonal and can be combined to further reduce the variance. Our combination yields a new family of estimators which trade time and space with variance. We demonstrate experimentally that the new estimators are superior, often yielding an order of magnitude improvement over previous schemes on several benchmarks.

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