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Multivariate extensions of isotonic regression and total variation
  denoising via entire monotonicity and Hardy-Krause variation
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation"

23 / 23 papers shown
Title
Highly Adaptive Ridge
Highly Adaptive Ridge
Alejandro Schuler
Alexander Hagemeister
Mark van der Laan
236
0
0
03 Oct 2024
Estimating conditional hazard functions and densities with the
  highly-adaptive lasso
Estimating conditional hazard functions and densities with the highly-adaptive lasso
Anders Munch
Thomas A. Gerds
Mark J. van der Laan
H. Rytgaard
39
2
0
17 Apr 2024
Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps
Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps
Zhaoyang Shi
Krishnakumar Balasubramanian
W. Polonik
81
1
0
22 Feb 2024
Adaptive approximation of monotone functions
Adaptive approximation of monotone functions
Pierre Gaillard
Sébastien Gerchinovitz
Étienne de Montbrun
43
1
0
14 Sep 2023
Adaptive debiased machine learning using data-driven model selection
  techniques
Adaptive debiased machine learning using data-driven model selection techniques
L. Laan
M. Carone
Alexander Luedtke
Mark van der Laan
74
9
0
24 Jul 2023
Lassoed Tree Boosting
Lassoed Tree Boosting
Alejandro Schuler
Yi Li
Mark van der Laan
114
3
0
22 May 2022
Spatially Adaptive Online Prediction of Piecewise Regular Functions
Spatially Adaptive Online Prediction of Piecewise Regular Functions
S. Chatterjee
Subhajit Goswami
OffRL
68
1
0
30 Mar 2022
Noisy linear inverse problems under convex constraints: Exact risk
  asymptotics in high dimensions
Noisy linear inverse problems under convex constraints: Exact risk asymptotics in high dimensions
Q. Han
65
3
0
20 Jan 2022
A Cross Validation Framework for Signal Denoising with Applications to
  Trend Filtering, Dyadic CART and Beyond
A Cross Validation Framework for Signal Denoising with Applications to Trend Filtering, Dyadic CART and Beyond
A. Chaudhuri
S. Chatterjee
41
4
0
07 Jan 2022
Multivariate Trend Filtering for Lattice Data
Multivariate Trend Filtering for Lattice Data
Veeranjaneyulu Sadhanala
Yu Wang
Addison J. Hu
Robert Tibshirani
53
7
0
29 Dec 2021
A Variational View on Statistical Multiscale Estimation
A Variational View on Statistical Multiscale Estimation
Markus Haltmeier
Housen Li
Axel Munk
62
4
0
10 Jun 2021
Tensor denoising with trend filtering
Tensor denoising with trend filtering
Francesco Ortelli
Sara van de Geer
72
5
0
26 Jan 2021
Sequential causal inference in a single world of connected units
Sequential causal inference in a single world of connected units
Aurélien F. Bibaut
M. Petersen
N. Vlassis
Maria Dimakopoulou
Mark van der Laan
CMLOffRL
74
10
0
18 Jan 2021
Optimal Rates for Estimation of Two-Dimensional Totally Positive
  Distributions
Optimal Rates for Estimation of Two-Dimensional Totally Positive Distributions
Jan-Christian Hütter
Cheng Mao
Philippe Rigollet
Elina Robeva
30
3
0
13 Jun 2020
Generalized Policy Elimination: an efficient algorithm for Nonparametric
  Contextual Bandits
Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits
Aurélien F. Bibaut
Antoine Chambaz
Mark van der Laan
OffRL
111
3
0
05 Mar 2020
Logistic regression with total variation regularization
Logistic regression with total variation regularization
Sara van de Geer
54
6
0
05 Mar 2020
Confidence intervals for multiple isotonic regression and other monotone
  models
Confidence intervals for multiple isotonic regression and other monotone models
Hang Deng
Q. Han
Cun-Hui Zhang
61
15
0
20 Jan 2020
Adaptive Rates for Total Variation Image Denoising
Adaptive Rates for Total Variation Image Denoising
Francesco Ortelli
Sara van de Geer
78
6
0
17 Nov 2019
Fast rates for empirical risk minimization over càdlàg functions
  with bounded sectional variation norm
Fast rates for empirical risk minimization over càdlàg functions with bounded sectional variation norm
Aurélien F. Bibaut
Mark van der Laan
55
5
0
22 Jul 2019
Estimation of Monge Matrices
Estimation of Monge Matrices
Jan-Christian Hütter
Cheng Mao
Philippe Rigollet
Elina Robeva
48
9
0
05 Apr 2019
New Risk Bounds for 2D Total Variation Denoising
New Risk Bounds for 2D Total Variation Denoising
S. Chatterjee
Subhajit Goswami
83
21
0
04 Feb 2019
Frame-constrained Total Variation Regularization for White Noise
  Regression
Frame-constrained Total Variation Regularization for White Noise Regression
Miguel del Álamo Ruiz
Housen Li
Axel Munk
75
13
0
05 Jul 2018
Bracketing numbers of convex and $m$-monotone functions on polytopes
Bracketing numbers of convex and mmm-monotone functions on polytopes
Charles R. Doss
40
1
0
29 May 2015
1