Fixed random Fourier projections on tabular inputs are claimed to bound the NTK, speed up gradient descent, and improve accuracy across four architectures and eight benchmarks.
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Random at First, Fast at Last: NTK-Guided Fourier Pre-Processing for Tabular DL
Fixed random Fourier projections on tabular inputs are claimed to bound the NTK, speed up gradient descent, and improve accuracy across four architectures and eight benchmarks.