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Minimax Regret Under Log Loss for General Classes of Experts

Nicolò Cesa-Bianchi, Gábor Lugosi
COLT 1999 pp. 12-18
doi:10.1145/307400.307407 /colt/1999/cesabianchi1999colt-minimax/

Abstract

Article Minimax regret under log loss for general classes of experts Share on Authors: Nicolò Cesa-Bianchi Polo Didattico e di Ricerca, University of Milan, Via Bramante 65, 26013 Crema, Italy Polo Didattico e di Ricerca, University of Milan, Via Bramante 65, 26013 Crema, ItalyView Profile , Gábor Lugosi Department of Economics, Pompeu Fabra University, Ramon Trias Fargas 25-27, 08005 Barcelona, Spain Department of Economics, Pompeu Fabra University, Ramon Trias Fargas 25-27, 08005 Barcelona, SpainView Profile Authors Info & Claims COLT '99: Proceedings of the twelfth annual conference on Computational learning theoryJuly 1999 Pages 12–18https://doi.org/10.1145/307400.307407Online:06 July 1999Publication History 8citation363DownloadsMetricsTotal Citations8Total Downloads363Last 12 Months4Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited. To manage your alert preferences, click on the button below. Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

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Text

Cesa-Bianchi and Lugosi. "Minimax Regret Under Log Loss for General Classes of Experts." Annual Conference on Computational Learning Theory, 1999. doi:10.1145/307400.307407

Markdown

[Cesa-Bianchi and Lugosi. "Minimax Regret Under Log Loss for General Classes of Experts." Annual Conference on Computational Learning Theory, 1999.](https://mlanthology.org/colt/1999/cesabianchi1999colt-minimax/) doi:10.1145/307400.307407

BibTeX

@inproceedings{cesabianchi1999colt-minimax,
  title     = {{Minimax Regret Under Log Loss for General Classes of Experts}},
  author    = {Cesa-Bianchi, Nicolò and Lugosi, Gábor},
  booktitle = {Annual Conference on Computational Learning Theory},
  year      = {1999},
  pages     = {12-18},
  doi       = {10.1145/307400.307407},
  url       = {https://mlanthology.org/colt/1999/cesabianchi1999colt-minimax/}
}