Institute Homepage
Institute Homepage EN Sign In

Back

Empirische Inferenz Conference Paper 2022

Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference

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

Author(s): Rendsburg, L. and Kristiadi, A. and Hennig, P. and von Luxburg, U.
Book Title: Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS)
Volume: 151
Pages: 1503--1526
Year: 2022
Month: March
Series: Proceedings of Machine Learning Research
Editors: Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel
Publisher: PMLR
Bibtex Type: Conference Paper (conference)
Event Name: 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022)
Event Place: Virtual Conference
State: Published
URL: https://proceedings.mlr.press/v151/rendsburg22a.html
Electronic Archiving: grant_archive

BibTex 

@conference{RenKriHenLux22,
  title = {Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference},
  booktitle = {Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS)},
  volume = {151},
  pages = {1503--1526},
  series = {Proceedings of Machine Learning Research},
  editors = {Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel},
  publisher = {PMLR},
  month = mar,
  year = {2022},
  slug = {renkrihenlux22},
  author = {Rendsburg, L. and Kristiadi, A. and Hennig, P. and von Luxburg, U.},
  url = {https://proceedings.mlr.press/v151/rendsburg22a.html},
  month_numeric = {3}
}