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Neural network gradient Hamiltonian Monte Carlo
Hamiltonian Monte Carlo is a widely used algorithm for sampling from posterior distributions of complex Bayesian models. It can efficiently explore high-dimensional parameter spaces guided by simulated Hamiltonian flows. However, the algorithm requires repeated gradient calculations, and these compu...
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| I publikationen: | Comput Stat |
|---|---|
| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6833949/ https://ncbi.nlm.nih.gov/pubmed/31695242 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00180-018-00861-z |
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