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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...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:JMLR Workshop Conf Proc
Prif Awduron: Lan, Shiwei, Zhou, Bo, Shahbaba, Babak
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: 2014
Pynciau:
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC4407381/
https://ncbi.nlm.nih.gov/pubmed/25914759
Tagiau: Ychwanegu Tag
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