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  A simpler approach to accelerated optimization: iterative averaging meets optimism

Joulani, P., Raj, A., György, A., & Szepesvári, C. (2021). A simpler approach to accelerated optimization: iterative averaging meets optimism. In H. Daumé, & A. Singh (Eds.), Proceedings of the 37th International Conference on Machine Learning (ICML 2020) (pp. 4951-4960). Red Hook, NY: Curran Associates, Inc. Retrieved from http://proceedings.mlr.press/v119/joulani20a.html.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-2789-F Version Permalink: https://hdl.handle.net/21.11116/0000-000B-278A-E
Genre: Conference Paper

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Locator:
http://proceedings.mlr.press/v119/joulani20a.html (Publisher version)
Description:
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OA-Status:
Gold

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 Creators:
Joulani, Pooria1, Author
Raj, Anant2, Author           
György, András1, Author
Szepesvári, Csaba1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 20202021-03
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: URI: http://proceedings.mlr.press/v119/joulani20a.html
BibTex Citekey: AnRaj_2021_CD
 Degree: -

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Title: 37th International Conference on Machine Learning (ICML 2020)
Place of Event: Online
Start-/End Date: 2020-07-13 - 2020-07-18

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Title: Proceedings of the 37th International Conference on Machine Learning (ICML 2020)
Source Genre: Proceedings
 Creator(s):
Daumé, Hal1, Editor
Singh, Aarti1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Red Hook, NY : Curran Associates, Inc.
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 4951 - 4960 Identifier: ISBN: 978-1-7138-2112-0
URI: https://proceedings.mlr.press/v119/

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Title: Proceedings of Machine Learning Research (PMLR)
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 119 Sequence Number: - Start / End Page: - Identifier: ISSN: 2640-3498