Empirical Inference
Conference Paper
2022
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
| Author(s): | Antoran, J. and Janz, D. and Allingham, J. U. and Daxberger, E. and Barbano, R. R. and Nalisnick, E. and Hernandez-Lobato, J. M. |
| Book Title: | Proceedings of the 39th International Conference on Machine Learning (ICML) |
| Volume: | 162 |
| Pages: | 796--821 |
| 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/antoran22a.html |
| Electronic Archiving: | grant_archive |
BibTex
@conference{Antoranetal22,
title = {Adapting the Linearised {L}aplace Model Evidence for Modern Deep Learning},
booktitle = {Proceedings of the 39th International Conference on Machine Learning (ICML)},
volume = {162},
pages = {796--821},
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 = {antoranetal22},
author = {Antoran, J. and Janz, D. and Allingham, J. U. and Daxberger, E. and Barbano, R. R. and Nalisnick, E. and Hernandez-Lobato, J. M.},
url = {https://proceedings.mlr.press/v162/antoran22a.html},
month_numeric = {7}
}