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Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling
Gibbs sampling is a Markov chain Monte Carlo technique commonly used for estimating marginal distributions. To speed up Gibbs sampling, there has recently been interest in parallelizing it by executing asynchronously. While empirical results suggest that many models can be efficiently sampled asynch...
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| Pubblicato in: | JMLR Workshop Conf Proc |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5360990/ https://ncbi.nlm.nih.gov/pubmed/28344730 |
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