A tutorial on variational Bayesian inference

Charles Fox1, Stephen Roberts2
1University of Sheffield#N#
2Pattern Analysis and Machine Learning Research Group, Department of Engineering Science, University of Oxford, Oxford, UK

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Tài liệu tham khảo

Attias H (2000) A variational Bayesian framework for graphical models. In: Advances in neural information processing systems. MIT Press

Bernardo JM, Smith AFM (2000) Bayesian theory. Wiley, London

Bishop CM, Winn JM, Spiegelhalter D (2002) VIBES: a variational inference engine for Bayesian networks. In: Advances in neural information processing systems

Winn J, Bishop C (2005) Variational message passing. J Mach Learn Res 6: 661–694