variationalbayesiandataanalysisonmanifold
Yang Ming
刊名controltheoryandtechnology
2018
卷号016期号:003页码:212
ISSN号2095-6983
英文摘要In 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.
语种英语
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/44638]  
专题中国科学院数学与系统科学研究院
作者单位中国科学院数学与系统科学研究院
推荐引用方式
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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