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  On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems

Muehlebach, M., & Jordan, M. I. (2022). On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems. Journal of Machine Learning Research, 23: 256. Retrieved from https://www.jmlr.org/papers/v23/21-0798.html.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-E1FF-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-E200-1
Genre: Journal Article

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Locator:
https://www.jmlr.org/papers/v23/21-0798.html (Publisher version)
Description:
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OA-Status:
Gold
Locator:
https://doi.org/10.48550/arXiv.2107.08225 (Preprint)
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OA-Status:
Green

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 Creators:
Muehlebach, Michael1, Author
Jordan, Michael I.2, Author
Affiliations:
1Emmy Noether Research Group Learning and Dynamical Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, Max-Planck-Ring 4, 72076 Tübingen, DE, ou_3369924              
2External Organizations, ou_persistent22              

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Free keywords: Forschungsgruppe Muehlebach
 Abstract: -

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Language(s): eng - English
 Dates: 2022-08
 Publication Status: Published online
 Pages: 47
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: BibTex Citekey: Constraints_in_First-Order_Optimization
arXiv: 2107.08225
URI: https://www.jmlr.org/papers/v23/21-0798.html
 Degree: -

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Title: Journal of Machine Learning Research
  Abbreviation : JMLR
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Brookline, MA : Microtome Publishing
Pages: - Volume / Issue: 23 Sequence Number: 256 Start / End Page: - Identifier: ISSN: 1532-4435
CoNE: https://pure.mpg.de/cone/journals/resource/111002212682020