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View all- Feng BJiang G(2020)Reusing simulation outputs of repeated experiments via likelihood ratio regressionProceedings of the Winter Simulation Conference10.5555/3466184.3466220(325-336)Online publication date: 14-Dec-2020
Monte Carlo rendering algorithms generally rely on some form of importance sampling to evaluate the measurement equation. Most of these importance sampling methods only take local information into account, however, so the actual importance function used ...
We construct and analyze acceleration techniques for adaptive Monte Carlo simulations for general multivariate probability laws when the sample average approximation is employed for optimal parameter search. Our goal is to accelerate the adaptive Monte ...
The paper introduces AND/OR importance sampling for probabilistic graphical models. In contrast to importance sampling, AND/OR importance sampling caches samples in the AND/OR space and then extracts a new sample mean from the stored samples. We prove ...
IEEE Press
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