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Frame-constrained Total Variation Regularization for White Noise
  Regression
v1v2v3 (latest)

Frame-constrained Total Variation Regularization for White Noise Regression

5 July 2018
Miguel del Álamo Ruiz
Housen Li
Axel Munk
ArXiv (abs)PDFHTML

Papers citing "Frame-constrained Total Variation Regularization for White Noise Regression"

17 / 17 papers shown
Title
Multivariate extensions of isotonic regression and total variation
  denoising via entire monotonicity and Hardy-Krause variation
Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation
Billy Fang
Adityanand Guntuboyina
B. Sen
52
32
0
04 Mar 2019
Isotonic Regression in Multi-Dimensional Spaces and Graphs
Isotonic Regression in Multi-Dimensional Spaces and Graphs
Hang Deng
Cun-Hui Zhang
101
23
0
21 Dec 2018
Isotonic regression in general dimensions
Isotonic regression in general dimensions
Q. Han
Tengyao Wang
S. Chatterjee
R. Samworth
40
98
0
30 Aug 2017
Multiscale Change-point Segmentation: Beyond Step Functions
Multiscale Change-point Segmentation: Beyond Step Functions
Housen Li
Qinghai Guo
Axel Munk
41
21
0
13 Aug 2017
Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend
  Filtering
Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend Filtering
Adityanand Guntuboyina
Donovan Lieu
S. Chatterjee
B. Sen
57
67
0
16 Feb 2017
Multiscale scanning in inverse problems
Multiscale scanning in inverse problems
K. Proksch
Frank Werner
Axel Munk
61
31
0
14 Nov 2016
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of
  Linear Smoothers
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers
Veeranjaneyulu Sadhanala
Yu Wang
Robert Tibshirani
56
74
0
26 May 2016
Optimal rates for total variation denoising
Optimal rates for total variation denoising
Jan-Christian Hütter
Philippe Rigollet
47
33
0
30 Mar 2016
Variational Multiscale Nonparametric Regression: Smooth Functions
Variational Multiscale Nonparametric Regression: Smooth Functions
M. Grasmair
Housen Li
Axel Munk
100
16
0
03 Dec 2015
Trend Filtering on Graphs
Trend Filtering on Graphs
Yu Wang
James Sharpnack
Alex Smola
Robert Tibshirani
64
243
0
28 Oct 2014
Adaptive estimation over anisotropic functional classes via oracle
  approach
Adaptive estimation over anisotropic functional classes via oracle approach
O. Lepski
59
35
0
18 May 2014
On the Prediction Performance of the Lasso
On the Prediction Performance of the Lasso
A. Dalalyan
Mohamed Hebiri
Johannes Lederer
168
167
0
07 Feb 2014
Multiscale Change-Point Inference
Multiscale Change-Point Inference
K. Frick
Axel Munk
H. Sieling
112
344
0
30 Jan 2013
On adaptive minimax density estimation on $R^d$
On adaptive minimax density estimation on RdR^dRd
A. Goldenshluger
O. Lepski
109
109
0
05 Oct 2012
Statistical Multiresolution Estimation for Variational Imaging: With an
  Application in Poisson-Biophotonics
Statistical Multiresolution Estimation for Variational Imaging: With an Application in Poisson-Biophotonics
K. Frick
Philipp Marnitz
Axel Munk
52
36
0
17 Apr 2012
Statistical Multiresolution Dantzig Estimation in Imaging: Fundamental
  Concepts and Algorithmic Framework
Statistical Multiresolution Dantzig Estimation in Imaging: Fundamental Concepts and Algorithmic Framework
K. Frick
Philipp Marnitz
Axel Munk
122
53
0
23 Jan 2011
Extensions of smoothing via taut strings
Extensions of smoothing via taut strings
L. Duembgen
A. Kovac
133
71
0
20 Mar 2008
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