Localized rademacher complexities

Peter L. Bartlett, Olivier Bousquet, Shahar Mendelson

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    50 Citations (Scopus)

    Abstract

    We investigate the behaviour of global and local Rademacher averages. We present new error bounds which are based on the local averages and indicate how data-dependent local averages can be estimated without a priori knowledge of the class at hand.

    Original languageEnglish
    Title of host publicationComputational Learning Theory - 15th Annual Conference on Computational Learning Theory, COLT 2002, Proceedings
    EditorsJyrki Kivinen, Robert H. Sloan
    PublisherSpringer Verlag
    Pages44-58
    Number of pages15
    ISBN (Electronic)354043836X, 9783540438366
    DOIs
    Publication statusPublished - 2002
    Event15th Annual Conference on Computational Learning Theory, COLT 2002 - Sydney, Australia
    Duration: 8 Jul 200210 Jul 2002

    Publication series

    NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
    Volume2375
    ISSN (Print)0302-9743

    Conference

    Conference15th Annual Conference on Computational Learning Theory, COLT 2002
    Country/TerritoryAustralia
    CitySydney
    Period8/07/0210/07/02

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