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Stopping Rules for Gradient Methods for Non-convex Problems with Additive Noise in Gradient.

Fedor S. StonyakinIlya A. KuruzovBoris T. Polyak
Published in: J. Optim. Theory Appl. (2023)
Keyphrases
  • additive noise
  • maximum likelihood
  • edge detection
  • three dimensional
  • bayesian networks
  • video sequences
  • lower bound
  • multiresolution
  • image compression
  • sample size
  • stopping rules