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Stochastic Gradient Descent for Linear Inverse Problems in Variable Exponent Lebesgue Spaces.

Marta LazzarettiZeljko KeretaClaudio EstaticoLuca Calatroni
Published in: SSVM (2023)
Keyphrases
  • stochastic gradient descent
  • loss function
  • least squares
  • matrix factorization
  • step size
  • random forests
  • total least squares
  • support vector machine
  • pairwise
  • weight vector
  • training data
  • multiscale
  • image restoration