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Empirische Inferenz Conference Paper 2022

Preconditioning for Scalable Gaussian Process Hyperparameter Optimization

Thumb ticker sm hennig lowres cropped
Probabilistic Numerics, Empirische Inferenz
Philipp Hennig
Affiliated Researcher

Author(s): Wenger, J. and Pleiss, G. and Hennig, P. and Cunningham, J. and Gardner, J.
Book Title: Proceedings of the 39th International Conference on Machine Learning (ICML)
Volume: 162
Pages: 23751--23780
Year: 2022
Month: July
Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan
Publisher: PMLR
Bibtex Type: Conference Paper (conference)
Event Place: Baltimore, Maryland, USA
State: Published
URL: https://proceedings.mlr.press/v162/wenger22a.html
Electronic Archiving: grant_archive

BibTex 

@conference{Wengeretal22,
  title = {Preconditioning for Scalable {G}aussian Process Hyperparameter Optimization},
  booktitle = {Proceedings of the 39th International Conference on Machine Learning (ICML)},
  volume = {162},
  pages = {23751--23780},
  editors = {Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan},
  publisher = {PMLR},
  month = jul,
  year = {2022},
  slug = {wengeretal22},
  author = {Wenger, J. and Pleiss, G. and Hennig, P. and Cunningham, J. and Gardner, J.},
  url = {https://proceedings.mlr.press/v162/wenger22a.html},
  month_numeric = {7}
}