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Rigorous dynamical mean field theory for stochastic gradient descent methods.

Cédric GerbelotEmanuele TroianiFrancesca MignaccoFlorent KrzakalaLenka Zdeborová
Published in: CoRR (2022)
Keyphrases
  • stochastic gradient descent
  • machine learning methods
  • machine learning
  • least squares
  • benchmark datasets
  • pairwise
  • cost function
  • bayesian framework
  • matrix factorization
  • random forests