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On the Convergence of a Family of Robust Losses for Stochastic Gradient Descent.

Bo HanIvor W. TsangLing Chen
Published in: ECML/PKDD (1) (2016)
Keyphrases
  • stochastic gradient descent
  • least squares
  • matrix factorization
  • loss function
  • optical flow
  • step size
  • random forests
  • regularization parameter
  • image processing
  • decision trees
  • support vector machine
  • missing data