ICML-Robust Unsupervised Learning via L-statistic Minimization

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Robust Unsupervised Learning via L-Statistic Minimization

         Andreas Maurer 1 Daniela A. Parletta 1 2 Andrea Paudice 1 3 Massimilano Pontil 1 4

              Abstract                  restrict attention to “a sufficient portion of the data in good
    Designing learning algorithms that are resistant to       agreement with one of the hypothesized models”.
    perturbations of the underlying data distribution        To implement the above idea, we propose using L-
    is a problem of wide ...

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关键词：Minimization statistic Learning Statist earning