Empirical Inference
Probabilistic Numerics
Conference Paper
2019
Limitations of the empirical Fisher approximation for natural gradient descent
Probabilistic Numerics
Probabilistic Numerics
| Author(s): | Kunstner, F. and Hennig, P. and Balles, L. |
| Book Title: | Advances in Neural Information Processing Systems 32 (NeurIPS 2019) |
| Pages: | 4158--4169 |
| Year: | 2019 |
| Month: | December |
| Editors: | H. Wallach and H. Larochelle and A. Beygelzimer and F. d'Alch\'{e}-Buc and E. Fox and R. Garnett |
| Publisher: | Curran Associates, Inc. |
| BibTeX Type: | Conference Paper (conference) |
| Event Name: | 33rd Annual Conference on Neural Information Processing Systems |
| Event Place: | Vancouver, Canada |
| State: | Published |
| URL: | https://papers.nips.cc/paper/8669-limitations-of-the-empirical-fisher-approximation-for-natural-gradient-descent |
| Electronic Archiving: | grant_archive |
BibTeX
@conference{KunHenBal19,
title = {Limitations of the empirical Fisher approximation for natural gradient descent},
booktitle = {Advances in Neural Information Processing Systems 32 (NeurIPS 2019)},
pages = {4158--4169},
editors = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d'Alch\'{e}-Buc and E. Fox and R. Garnett},
publisher = {Curran Associates, Inc.},
month = dec,
year = {2019},
author = {Kunstner, F. and Hennig, P. and Balles, L.},
url = {https://papers.nips.cc/paper/8669-limitations-of-the-empirical-fisher-approximation-for-natural-gradient-descent},
month_numeric = {12}
}