Empirische Inferenz
Conference Paper
2022
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
| 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}
}