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Generalization Analysis for Ranking Using Integral Operator

AAAI 2017 · Learning theory and algorithms › Kernels and regression theory · approach: Information-theoretic generalization bounds · 4 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use the eigenvalue-based bound (Theorem 3) instead of stability and Rademacher boundsregularized ranking with Hinge loss · simulated data, Fourier kernelgeneralization bound convergence rateHelped
use the eigenvalue-based bound (Theorem 4) instead of stability, Rademacher and U-process boundsregularized ranking with Hinge loss · simulated data, Gaussian kernelgeneralization bound convergence rateHelped

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