Adaptively Setting the Path Length for Separable Shadow Hamiltonian Hybrid Monte Carlo
Hybrid Monte Carlo (HMC) has been widely applied to numerous posterior inference problems in machine learning and statistics. HMC has two main practical issues, the first is the deterioration in acceptance rates as the system size increases and the second is its sensitivity to two user-specified par...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2021-01-01
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| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/9564021/ |
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