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variationalbayesiandataanalysisonmanifold
Yang Ming
2018
Source Publicationcontroltheoryandtechnology
ISSN2095-6983
Volume016Issue:003Pages:212
AbstractIn this paper, variational inference is studied on manifolds with certain metrics. To solve the problem, the analysis is first proposed for the variational Bayesian on Lie group, and then extended to the manifold that is approximated by Lie groups. Then the convergence of the proposed algorithm with respect to the manifold metric is proved in two iterative processes: variational Bayesian expectation (VB-F) step and variational Bayesian maximum (VB-M) step. Moreover, the effective of different metrics for Bayesian analysis is discussed.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/44639
Collection中国科学院数学与系统科学研究院
Affiliation中国科学院数学与系统科学研究院
Recommended Citation
GB/T 7714
Yang Ming. variationalbayesiandataanalysisonmanifold[J]. controltheoryandtechnology,2018,016(003):212.
APA Yang Ming.(2018).variationalbayesiandataanalysisonmanifold.controltheoryandtechnology,016(003),212.
MLA Yang Ming."variationalbayesiandataanalysisonmanifold".controltheoryandtechnology 016.003(2018):212.
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