Sebastian Farquhar, Lewis Smith, Yarin Gal. Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]
@inproceedings{FarquharSG20,
title = {Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations},
author = {Sebastian Farquhar and Lewis Smith and Yarin Gal},
year = {2020},
url = {https://proceedings.neurips.cc/paper/2020/hash/2dfe1946b3003933b7f8ddd71f24dbb1-Abstract.html},
researchr = {https://researchr.org/publication/FarquharSG20},
cites = {0},
citedby = {0},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria-Florina Balcan and Hsuan-Tien Lin},
}