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Empirical Inference Conference Paper 2021

Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning

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Empirical Inference
Matthias Bauer
  • Doctoral Researcher

Author(s): Immer, A. and Bauer, M. and Fortuin, V. and Rätsch, G. and Khan, M. E.
Book Title: Proceedings of 38th International Conference on Machine Learning (ICML)
Volume: 139
Pages: 4563--4573
Year: 2021
Month: July
Series: Proceedings of Machine Learning Research
Editors: Meila, Marina and Zhang, Tong
Publisher: PMLR
Bibtex Type: Conference Paper (conference)
Event Place: Virtual Conference
State: Published
URL: https://proceedings.mlr.press/v139/immer21a.html
Electronic Archiving: grant_archive
Links:

BibTex 

@conference{Immeretal21,
  title = {Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning},
  booktitle = {Proceedings of 38th International Conference on Machine Learning (ICML)},
  volume = {139},
  pages = {4563--4573},
  series = {Proceedings of Machine Learning Research},
  editors = {Meila, Marina and Zhang, Tong},
  publisher = {PMLR},
  month = jul,
  year = {2021},
  slug = {immeretal21},
  author = {Immer, A. and Bauer, M. and Fortuin, V. and R{\"a}tsch, G. and Khan, M. E.},
  url = {https://proceedings.mlr.press/v139/immer21a.html},
  month_numeric = {7}
}