Informative Features for Model Comparison

    Heishiro Kanagawa
    Heishiro Kanagawa
    Patsorn Sangkloy
    Patsorn Sangkloy

    NeurIPS, 2018.

    Cited by: 6|Bibtex|Views11|Links
    EI
    Keywords:
    computationally efficienta setsample sizenatural languagemodel comparisonMore(4+)

    Abstract:

    Given two candidate models, and a set of target observations, we address the problem of measuring the relative goodness of fit of the two models. We propose two new statistical tests which are nonparametric, computationally efficient (runtime complexity is linear in the sample size), and interpretable. As a unique advantage, our tests can...More

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