Fourier Sparse Leverage Scores and Approximate Kernel Learning

no code implementations • NeurIPS 2020 • Tamás Erdélyi, Cameron Musco, Christopher Musco

Bounding Fourier sparse leverage scores under various measures is of pure mathematical interest in approximation theory, and our work extends existing results for the uniform measure [Erd17, CP19a].

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