Variational Inference for Uncertainty on the Inputs of Gaussian Process Models

[edit]

Andreas Damianou, University of Sheffield
Michalis K. Titsias, University of Athens
Neil D. Lawrence, University of Sheffield

ar{X}iv preprint ar{X}iv:1409.2287

Abstract


@Article{damianou-variational14,
  title = 	 {Variational Inference for Uncertainty on the Inputs of Gaussian Process Models},
  journal =  	 {ar{X}iv preprint ar{X}iv:1409.2287},
  author = 	 {Andreas Damianou and Michalis K. Titsias and Neil D. Lawrence},
  year = 	 {2014},
  month = 	 {00},
  edit = 	 {https://github.com/lawrennd//publications/edit/gh-pages/_posts/2014-01-01-damianou-variational14.md},
  url =  	 {http://inverseprobability.com/publications/damianou-variational14.html},
  abstract = 	 {},
  key = 	 {Damianou-variational14},
  OPTgroup = 	 {}
 

}
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%A Andreas Damianou and Michalis K. Titsias and Neil D. Lawrence
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%C ar{X}iv preprint ar{X}iv:1409.2287
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AU  - Michalis K. Titsias
AU  - Neil D. Lawrence
PY  - 2014/01/01
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ID  - damianou-variational14	
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Damianou, A., Titsias, M.K. & Lawrence, N.D.. (2014). Variational Inference for Uncertainty on the Inputs of Gaussian Process Models. ar{X}iv preprint ar{X}iv:1409.2287 :-