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Efficient kernel surrogates for neural network-based regression.

Saad QadeerAndrew EngelAdam TsouMax VargasPanos StinisTony Chiang
Published in: CoRR (2023)
Keyphrases
  • neural network
  • gaussian processes
  • support vector
  • cost effective
  • kernel regression
  • feature space
  • least squares
  • computationally efficient
  • regression model
  • regression analysis
  • sparse kernel
  • mercer kernels