Conference item
Universal approximation with deep narrow networks
- Publication status:
- Published
- Peer review status:
- Reviewed (other)
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- Files:
-
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(Version of record, 382.0KB)
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- Publication website:
- http://proceedings.mlr.press/v125/kidger20a.html
Authors
Bibliographic Details
- Publisher:
- Journal of Machine Learning Research Publisher's website
- Journal:
- Journal of Machine Learning Research Journal website
- Volume:
- 125
- Issue:
- 2020
- Pages:
- 2306-2327
- Host title:
- Proceedings of the 33rd Annual Conference on Learning Theory (COLT 2020)
- Publication date:
- 2020-08-06
- Acceptance date:
- 2020-05-26
- Event title:
- Conference on Learning Theory
- Event location:
- Online
- Event website:
- http://www.learningtheory.org/colt2020/
- Event start date:
- 2020-07-09T00:00:00Z
- Event end date:
- 2020-07-12T00:00:00Z
- EISSN:
-
1533-7928
- ISSN:
-
1532-4435
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1111603
- Local pid:
- pubs:1111603
- Deposit date:
- 2020-06-11
Terms of use
- Copyright holder:
- Kidger and Lyons.
- Copyright date:
- 2020
- Rights statement:
- © 2020 P. Kidger & T. Lyons.
- Notes:
- This paper was presented at the 33rd Conference of Learning Theory 2020, 9th - 12th July 2020. This is the accepted manuscript version of the article. The final version is available from PMLR at: http://proceedings.mlr.press/v125/kidger20a.html
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