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A Local Convergence Theory for the Stochastic Gradient Descent Method in Non-Convex Optimization With Non-isolated Local Minima.

Taehee KoXiantao Li
Published in: CoRR (2022)
Keyphrases
  • convex optimization
  • multiscale
  • cost function
  • least squares
  • convergence rate
  • training data
  • machine learning
  • model selection
  • matrix factorization
  • stochastic gradient descent