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  Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature

Gunter, T., Osborne, M., Garnett, R., Hennig, P., & Roberts, S. (2014). Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature. In Z. Ghahramani, M. Welling, C. Cortes, N. Lawrence, & K. Weinberger (Eds.), Advances in Neural Information Processing Systems 27 (NIPS 2014) (pp. 2789-2797). Red Hook, NY: Curran Associates, Inc. Retrieved from http://papers.nips.cc/paper/5483-sampling-for-inference-in-probabilistic-models-with-fast-bayesian-quadrature.pdf.

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 Creators:
Gunter, T., Author
Osborne, M., Author
Garnett, R., Author
Hennig, P1, Author           
Roberts, S., Author
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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 Dates: 2014
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: 28th Annual Conference on Neural Information Processing Systems (NIPS 2014)
Place of Event: Montreal, Canada
Start-/End Date: 2014-12-08 - 2014-12-12

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Title: Advances in Neural Information Processing Systems 27 (NIPS 2014)
Source Genre: Proceedings
 Creator(s):
Ghahramani, Z., Editor
Welling, M., Editor
Cortes, C., Editor
Lawrence, N.D., Editor
Weinberger, K.Q., Editor
Affiliations:
-
Publ. Info: Red Hook, NY : Curran Associates, Inc.
Pages: - Volume / Issue: 27 Sequence Number: - Start / End Page: 2789 - 2797 Identifier: -