Institute Homepage
Institute Homepage DE Sign In

Back

Empirical Inference Conference Paper 2022

Adapting the Linearised Laplace Model Evidence for Modern Deep Learning

Thumb ticker sm erik
Empirical Inference
Erik Daxberger
  • Doctoral Researcher

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}
}