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1903.01395
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Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation
4 March 2019
Billy Fang
Adityanand Guntuboyina
B. Sen
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Papers citing
"Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation"
28 / 28 papers shown
Title
Adaptive Rates for Total Variation Image Denoising
Francesco Ortelli
Sara van de Geer
46
6
0
17 Nov 2019
New Risk Bounds for 2D Total Variation Denoising
S. Chatterjee
Subhajit Goswami
56
21
0
04 Feb 2019
Synthesis and analysis in total variation regularization
Francesco Ortelli
Sara van de Geer
23
12
0
18 Jan 2019
Element-wise estimation error of a total variation regularized estimator for change point detection
Teng Zhang
42
4
0
03 Jan 2019
Isotonic Regression in Multi-Dimensional Spaces and Graphs
Hang Deng
Cun-Hui Zhang
101
23
0
21 Dec 2018
Frame-constrained Total Variation Regularization for White Noise Regression
Miguel del Álamo Ruiz
Housen Li
Axel Munk
66
13
0
05 Jul 2018
On the total variation regularized estimator over a class of tree graphs
Francesco Ortelli
Sara van de Geer
23
19
0
04 Jun 2018
Uniform Consistency of the Highly Adaptive Lasso Estimator of Infinite Dimensional Parameters
Mark van der Laan
Aurélien F. Bibaut
36
9
0
19 Sep 2017
Nonparametric Shape-restricted Regression
Adityanand Guntuboyina
B. Sen
60
70
0
17 Sep 2017
Finite Sample Inference for Targeted Learning
Mark van der Laan
33
4
0
30 Aug 2017
Isotonic regression in general dimensions
Q. Han
Tengyao Wang
S. Chatterjee
R. Samworth
40
98
0
30 Aug 2017
Sequential Detection of Three-Dimensional Signals under Dependent Noise
Annabel Prause
A. Steland
30
7
0
21 Mar 2017
Optimistic lower bounds for convex regularized least-squares
Pierre C. Bellec
60
5
0
03 Mar 2017
A note on the approximate admissibility of regularized estimators in the Gaussian sequence model
Xi Chen
Adityanand Guntuboyina
Yuchen Zhang
52
8
0
01 Mar 2017
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
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
Jan-Christian Hütter
Philippe Rigollet
47
33
0
30 Mar 2016
Sharp oracle inequalities for Least Squares estimators in shape restricted regression
Pierre C. Bellec
53
96
0
27 Oct 2015
On matrix estimation under monotonicity constraints
S. Chatterjee
Adityanand Guntuboyina
B. Sen
90
60
0
10 Jun 2015
On the Prediction Performance of the Lasso
A. Dalalyan
Mohamed Hebiri
Johannes Lederer
168
167
0
07 Feb 2014
A new perspective on least squares under convex constraint
S. Chatterjee
114
117
0
04 Feb 2014
On risk bounds in isotonic and other shape restricted regression problems
S. Chatterjee
Adityanand Guntuboyina
B. Sen
72
138
0
15 Nov 2013
Adaptive piecewise polynomial estimation via trend filtering
Robert Tibshirani
78
396
0
10 Apr 2013
The bivariate current status model
P. Groeneboom
62
6
0
04 Sep 2012
Asymptotics for minimisers of convex processes
N. Hjort
D. Pollard
98
232
0
19 Jul 2011
Lower bounds for the minimax risk using
f
f
f
-divergences and applications
Adityanand Guntuboyina
122
79
0
30 Jan 2010
How many Laplace transforms of probability measures are there?
Fuchang Gao
Wenbo V. Li
J. Wellner
116
11
0
01 Jan 2010
Reduction algorithm for the NPMLE for the distribution function of bivariate interval censored data
Marloes H. Maathuis
74
42
0
17 Jun 2009
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