English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Limitations of the Empirical Fisher Approximation for Natural Gradient Descent

Kunstner, F., Balles, L., & Hennig, P. (2020). Limitations of the Empirical Fisher Approximation for Natural Gradient Descent. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox, & R. Garnett (Eds.), Advances in Neural Information Processing Systems 32 (pp. 4133-4144). Red Hook, NY: Curran Associates, Inc. Retrieved from https://papers.nips.cc/paper/8669-limitations-of-the-empirical-fisher-approximation-for-natural-gradient-descent.

Item is

Basic

show hide
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Kunstner, F.1, Author           
Balles, L.1, Author           
Hennig, P.1, Author           
Affiliations:
1Max Planck Research Group Probabilistic Numerics, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2344694              

Content

show
hide
Free keywords: Forschungsgruppe Hennig
 Abstract: -

Details

show
hide
Language(s): eng - English
 Dates: 20192020-06
 Publication Status: Issued
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

Event

show
hide
Title: 33rd Conference on Neural Information Processing Systems (NeurIPS 2019)
Place of Event: Vancouver
Start-/End Date: 2019-12-08 - 2019-12-14

Legal Case

show

Project information

show

Source 1

show
hide
Title: Advances in Neural Information Processing Systems 32
  Subtitle : 32nd Conference on Neural Information Processing Systems (NeurIPS 2019)
  Other : 33rd Conference on Neural Information Processing Systems (NeurIPS 2019)
Source Genre: Proceedings
 Creator(s):
Wallach, H.1, Editor
Larochelle, H.1, Editor
Beygelzimer, A.1, Editor
d'Alché-Buc, F.1, Editor
Fox, E.1, Editor
Garnett, R.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Red Hook, NY : Curran Associates, Inc.
Pages: - Volume / Issue: 6 Sequence Number: - Start / End Page: 4133 - 4144 Identifier: URI: https://papers.nips.cc/paper/2019
ISBN: 978-1-7138-0793-3