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  Random Gegenbauer Features for Scalable Kernel Methods

Han, I., Zandieh, A., & Avron, H. (2022). Random Gegenbauer Features for Scalable Kernel Methods. In K. Chaudhuri, S. Jegelka, S. Le, S. Csaba, N. Gang, & S. Sabato (Eds.), Proceedings of the 39th International Conference on Machine Learning (pp. 8330-8358). Retrieved from https://proceedings.mlr.press/v162/han22g.html.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-90FB-6 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-9104-B
Genre: Conference Paper
Latex : Random {Gegenbauer} Features for Scalable Kernel Methods

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 Creators:
Han, Insu1, Author
Zandieh, Amir2, Author           
Avron, Haim1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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Language(s): eng - English
 Dates: 2022
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Han_ICML22
URI: https://proceedings.mlr.press/v162/han22g.html
 Degree: -

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Title: 39th International Conference on Machine Learning
Place of Event: Baltimore, MA, USA
Start-/End Date: 2022-07-17 - 2022-07-23

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Title: Proceedings of the 39th International Conference on Machine Learning
  Abbreviation : ICML 2022
Source Genre: Proceedings
 Creator(s):
Chaudhuri, Kamalika1, Editor
Jegelka, Stefanie1, Editor
Le, Song1, Editor
Csaba, Szepesvari1, Editor
Gang, Niu1, Editor
Sabato, Sivan1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 8330 - 8358 Identifier: -

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Title: Proceedings of the Machine Learning Research
  Abbreviation : PMLR
Source Genre: Series
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Pages: - Volume / Issue: 162 Sequence Number: - Start / End Page: - Identifier: ISSN: 1938-7228