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Variational Inference for the IndianBuffet Process Finale…
https://mlg.eng.cam.ac.uk/pub/pdf/DosMilVanTeh09b.pdf13 Feb 2023: Beal. Variational Algorithms for Approximate Bayesian Inference. PhD thesis, Gatsby Computa-tional Neuroscience Unit, UCL, 2003. ... In TR2005-001, Gatsby Computational Neuroscience Unit, 2005. Hemant Ishwaran and Lancelot F. -
An Introduction to Variational Methods for Graphical Models
https://mlg.eng.cam.ac.uk/pub/pdf/JorGhaJaa99a.pdf13 Feb 2023: ZOUBIN GHAHRAMANI zoubin@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London WC1N 3AR, UK. ... In such cases the exactitude achieved by an exactalgorithm may not be worth the computational cost. -
Journal of Machine Learning Research 10 (2009) 1187-1238 Submitted ...
https://mlg.eng.cam.ac.uk/pub/pdf/SilGha09.pdf13 Feb 2023: problems. Part of this work was done while RS was at the Gatsby Computational Neuroscience Unit, UCL, and at the StatisticalLaboratory, University of Cambridge. †. ... The computational difficulty in the cyclic case is that the determinant|I B| is no -
The Indian Buffet Process: Scalable Inference and Extensions Finale…
https://mlg.eng.cam.ac.uk/pub/pdf/Dos09.pdf13 Feb 2023: computational effort on more probable values of z, that is, “slice” away less. -
Gaussian Processes forState Space Models andChange Point Detection…
https://mlg.eng.cam.ac.uk/pub/pdf/Tur11.pdf13 Feb 2023: of numerical digits. This example uses computational neuroscience as the domain. ... inference in the t-process for the same computational cost as a standard Gaussian. -
Efficient Reinforcement Learning using Gaussian Processes
https://mlg.eng.cam.ac.uk/pub/pdf/Dei10.pdf13 Feb 2023: 182.3.3 Input-Output Covariance. 232.3.4 Computational Complexity. 24. 2.4 Sparse Approximations using Inducing Inputs. ... 252.4.1 Computational Complexity. 27. 2.5 Further Reading. 27. 3 Probabilistic Models for Efficient Learning in Control 293.1
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