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Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width
Gibbs sampling on factor graphs is a widely used inference technique, which often produces good empirical results. Theoretical guarantees for its performance are weak: even for tree structured graphs, the mixing time of Gibbs may be exponential in the number of variables. To help understand the beha...
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| Published in: | Adv Neural Inf Process Syst |
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| Main Authors: | , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4894721/ https://ncbi.nlm.nih.gov/pubmed/27279724 |
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