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Computing the Variance of Shuffling Stochastic Gradient Algorithms via Power Spectral Density Analysis.

Carles Domingo-Enrich
Published in: CoRR (2022)
Keyphrases
  • stochastic gradient
  • learning algorithm
  • spectral analysis
  • computational complexity
  • power spectral density
  • cost function
  • computer vision
  • feature vectors
  • prediction error