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Risk Estimators for Choosing Regularization Parameters in Ill-Posed
  Problems - Properties and Limitations
v1v2 (latest)

Risk Estimators for Choosing Regularization Parameters in Ill-Posed Problems - Properties and Limitations

18 January 2017
F. Lucka
K. Proksch
Christoph Brune
N. Bissantz
Martin Burger
Holger Dette
Frank Wübbeling
ArXiv (abs)PDFHTML

Papers citing "Risk Estimators for Choosing Regularization Parameters in Ill-Posed Problems - Properties and Limitations"

4 / 4 papers shown
Title
First order algorithms in variational image processing
First order algorithms in variational image processing
Martin Burger
Alex Sawatzky
Gabriele Steidl
152
82
0
13 Dec 2014
Stein Unbiased GrAdient estimator of the Risk (SUGAR) for multiple
  parameter selection
Stein Unbiased GrAdient estimator of the Risk (SUGAR) for multiple parameter selection
Charles-Alban Deledalle
Samuel Vaiter
M. Fadili
Gabriel Peyré
81
119
0
06 May 2014
Unbiased Risk Estimates for Singular Value Thresholding and Spectral
  Estimators
Unbiased Risk Estimates for Singular Value Thresholding and Spectral Estimators
Emmanuel J. Candes
Carlos A. Sing Long
J. Trzasko
115
221
0
15 Oct 2012
The Projected GSURE for Automatic Parameter Tuning in Iterative
  Shrinkage Methods
The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods
Raja Giryes
Michael Elad
Yonina C. Eldar
177
130
0
21 Mar 2010
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