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Tikhonov regularization with oversmoothing penalty for nonlinear
  statistical inverse problems

Tikhonov regularization with oversmoothing penalty for nonlinear statistical inverse problems

1 February 2020
Abhishake Rastogi
ArXivPDFHTML

Papers citing "Tikhonov regularization with oversmoothing penalty for nonlinear statistical inverse problems"

4 / 4 papers shown
Title
Lepskii Principle in Supervised Learning
Lepskii Principle in Supervised Learning
Gilles Blanchard
Peter Mathé
Nicole Mücke
24
12
0
26 May 2019
Kernel regression, minimax rates and effective dimensionality: beyond
  the regular case
Kernel regression, minimax rates and effective dimensionality: beyond the regular case
Gilles Blanchard
Nicole Mücke
30
9
0
12 Nov 2016
Optimal rates for the regularized learning algorithms under general
  source condition
Optimal rates for the regularized learning algorithms under general source condition
Abhishake Rastogi
Sivananthan Sampath
27
31
0
07 Nov 2016
Optimal Rates For Regularization Of Statistical Inverse Learning
  Problems
Optimal Rates For Regularization Of Statistical Inverse Learning Problems
Gilles Blanchard
Nicole Mücke
93
143
0
14 Apr 2016
1