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Empirical Inference Conference Paper 2015

Permutational Rademacher Complexity: a New Complexity Measure for Transductive Learning

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Empirical Inference
Ilya Tolstikhin
  • Research Scientist

Author(s): Tolstikhin, I. and Zhivotovskiy, N and Blanchard, G.
Book Title: Proceedings of the 26th International Conference on Algorithmic Learning Theory
Volume: 9355
Pages: 209-223
Year: 2015
Month: October
Series: Lecture Notes in Computer Science
Editors: K. Chaudhuri, C. Gentile and S. Zilles
Publisher: Springer
Bibtex Type: Conference Paper (inproceedings)
DOI: 10.1007/978-3-319-24486-0_14
Event Name: ALT 2015
Event Place: Banff, Canada
State: Published
Electronic Archiving: grant_archive

BibTex 

@inproceedings{TolZhiBla15,
  title = {Permutational Rademacher Complexity: a New Complexity Measure for Transductive Learning},
  booktitle = {Proceedings of the 26th International Conference on Algorithmic Learning Theory},
  volume = {9355},
  pages = {209-223},
  series = {Lecture Notes in Computer Science},
  editors = {K. Chaudhuri, C. Gentile and S. Zilles},
  publisher = {Springer},
  month = oct,
  year = {2015},
  slug = {tolzhibla15},
  author = {Tolstikhin, I. and Zhivotovskiy, N and Blanchard, G.},
  month_numeric = {10}
}