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Stochastic gradient descent introduces an effective landscape-dependent regularization favoring flat solutions.

Ning YangChao TangYuhai Tu
Published in: CoRR (2022)
Keyphrases
  • stochastic gradient descent
  • least squares
  • loss function
  • step size
  • matrix factorization
  • early stopping
  • regularization parameter
  • decision trees
  • optimal solution
  • prediction accuracy
  • closed form
  • random forests