Variational Bayesian data analysis on manifold
0209 industrial biotechnology
02 engineering and technology
DOI:
10.1007/s11768-018-8083-4
Publication Date:
2018-07-27T06:46:45Z
AUTHORS (1)
ABSTRACT
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-E) step and variational Bayesian maximum (VB-M) step. Moreover, the effective of different metrics for Bayesian analysis is discussed.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (19)
CITATIONS (1)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....