This repository contains an implementation of C-MF-VI, the algorithm from paper "Collapsed Variational Bounds for Bayesian Neural Networks", published at Neurips conference 2021.
Link to the paper.
Requires torch >= 2.0
To run vectorized MNIST experiment:
python vmnist.py
If you find our code or paper helpful, please cite:
@inproceedings{NEURIPS2021_d5b03d3a,
author = {Tomczak, Marcin and Swaroop, Siddharth and Foong, Andrew and Turner, Richard},
booktitle = {Advances in Neural Information Processing Systems},
editor = {M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan},
pages = {25412--25426},
publisher = {Curran Associates, Inc.},
title = {Collapsed Variational Bounds for Bayesian Neural Networks},
url = {https://proceedings.neurips.cc/paper_files/paper/2021/file/d5b03d3acb580879f82271ab4885ee5e-Paper.pdf},
volume = {34},
year = {2021}}
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