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4. Kernel Computations From Large-Scale Random Features Obtained By Optical Processing Units

Kernel Computations From Large-Scale Random Features Obtained By Optical Processing Units

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IEEE ICASSP 2020 Virtual Conference May 2020

Approximating kernel functions with random features (RFs) has been a successful application of random projections for nonparametric estimation. However, performing random projections presents computational challenges for large-scale problems. Recently, a

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Kernel Computations From Large-Scale Random Features Obtained By Optical Processing Units

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Approximating kernel functions with random features (RFs) has been a successful application of random projections for nonparametric estimation. However, performing random projections presents computational challenges for large-scale problems. Recently, a