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Spherical Hamiltonian Monte Carlo for Constrained Target Distributions
Statistical models with constrained probability distributions are abundant in machine learning. Some examples include regression models with norm constraints (e.g., Lasso), probit models, many copula models, and Latent Dirichlet Allocation (LDA) models. Bayesian inference involving probability distr...
שמור ב:
| הוצא לאור ב: | JMLR Workshop Conf Proc |
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| Main Authors: | , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2014
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4407381/ https://ncbi.nlm.nih.gov/pubmed/25914759 |
| תגים: |
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