Empirical Inference

Improving Neural Additive Models with Bayesian Principles

2024

Conference Paper

ei

Author(s): Bouchiat, K. and Immer, A. and Yèche, H. and Rätsch, G. and Fortuin, V.
Book Title: Proceedings of the 41st International Conference on Machine Learning (ICML)
Volume: 235
Pages: 4416--4443
Year: 2024
Month: July
Series: Proceedings of Machine Learning Research
Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix
Publisher: PMLR
Department(s): Empirical Inference
Bibtex Type: Conference Paper (conference)
Event Place: Vienna, Austria
State: Published
URL: https://proceedings.mlr.press/v235/bouchiat24a.html

BibTex 

@conference{Bouchiatetal24,
  title = {Improving Neural Additive Models with Bayesian Principles},
  author = {Bouchiat, K. and Immer, A. and Yèche, H. and R{\"a}tsch, G. and Fortuin, V.},
  booktitle = {Proceedings of the 41st  International Conference on Machine Learning (ICML)},
  volume = {235},
  pages = {4416--4443},
  series = {Proceedings of Machine Learning Research},
  editors = {Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix},
  publisher = {PMLR},
  month = jul,
  year = {2024},
  doi = {},
  url = {https://proceedings.mlr.press/v235/bouchiat24a.html},
  month_numeric = {7}
}