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On the Convergence of Stochastic Gradient Descent in Low-Precision Number Formats.

Matteo CacciolaAntonio FrangioniMasoud AsgharianAlireza GhaffariVahid Partovi Nia
Published in: ICPRAM (2023)
Keyphrases
  • stochastic gradient descent
  • least squares
  • computational complexity
  • evolutionary algorithm
  • small number
  • step size
  • machine learning
  • supervised learning
  • markov chain
  • convergence rate
  • matrix factorization