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  Permutational Rademacher Complexity: a New Complexity Measure for Transductive Learning

Tolstikhin, I., Zhivotovskiy, N., & Blanchard, G. (2015). Permutational Rademacher Complexity: a New Complexity Measure for Transductive Learning. In K. Chaudhuri, C. Gentile, & S. Zilles (Eds.), Proceedings of the 26th International Conference on Algorithmic Learning Theory (pp. 209-223). Cham: Springer. doi:10.1007/978-3-319-24486-0_14.

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 Creators:
Tolstikhin, Ilya1, Author           
Zhivotovskiy, N2, Author
Blanchard, G.2, Author
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, DE, ou_1497647              
2External Organizations, ou_persistent22              

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Free keywords: Abt. Schölkopf
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 Dates: 2015-10
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: TolZhiBla15
DOI: 10.1007/978-3-319-24486-0_14
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Title: 26th International Conference on Algorithmic Learning Theory (ALT), 2015
Place of Event: Banff, Canada
Start-/End Date: 2015-10-04 - 2015-10-06

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Title: Proceedings of the 26th International Conference on Algorithmic Learning Theory
Source Genre: Proceedings
 Creator(s):
Chaudhuri, Kamalika1, Editor
Gentile, Claudio1, Editor
Zilles, Sandra1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Cham : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 209 - 223 Identifier: ISBN: 978-3-319-24485-3
ISBN: 978-3-319-24486-0

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 9355 Sequence Number: - Start / End Page: - Identifier: -