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Limitations of the empirical Fisher approximation for natural gradient descent

2019

Conference Paper

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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.

Department(s): Empirical Inference, Probabilistic Numerics
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

BibTex

@conference{KunHenBal19,
  title = {Limitations of the empirical Fisher approximation for natural gradient descent},
  author = {Kunstner, F. and Hennig, P. and Balles, L.},
  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},
  doi = {},
  url = {https://papers.nips.cc/paper/8669-limitations-of-the-empirical-fisher-approximation-for-natural-gradient-descent},
  month_numeric = {12}
}