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Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models

2019

Conference Paper

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Author(s): Ialongo, A. D. and Van Der Wilk, M. and Hensman, J. and Rasmussen, C. E.
Book Title: Proceedings of the 36th International Conference on Machine Learning (ICML)
Volume: 97
Pages: 2931--2940
Year: 2019
Month: June

Series: Proceedings of Machine Learning Research
Editors: Chaudhuri, Kamalika and Salakhutdinov, Ruslan
Publisher: PMLR

Department(s): Empirical Inference
Bibtex Type: Conference Paper (inproceedings)

Event Place: Long Beach, California, USA

State: Published
URL: http://proceedings.mlr.press/v97/ialongo19a.html
Attachments: PDF

BibTex

@inproceedings{IalWilHenRas19,
  title = {Overcoming Mean-Field Approximations in Recurrent {G}aussian Process Models},
  author = {Ialongo, A. D. and Van Der Wilk, M. and Hensman, J. and Rasmussen, C. E.},
  booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
  volume = {97},
  pages = {2931--2940},
  series = {Proceedings of Machine Learning Research},
  editors = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
  publisher = {PMLR},
  month = jun,
  year = {2019},
  url = {http://proceedings.mlr.press/v97/ialongo19a.html},
  month_numeric = {6}
}