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Minimax rates of convergence for Wasserstein deconvolution with supersmooth errors in any dimension.

Jérôme DedeckerBertrand Michel
Published in: J. Multivar. Anal. (2013)
Keyphrases
  • rates of convergence
  • empirical risk
  • regression function
  • prediction error
  • least squares
  • expectation maximization
  • denoising
  • decision boundary
  • machine learning
  • image segmentation
  • active learning
  • linear regression