ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1902.11192
  4. Cited By
Oracle inequalities for square root analysis estimators with application
  to total variation penalties
v1v2 (latest)

Oracle inequalities for square root analysis estimators with application to total variation penalties

28 February 2019
Francesco Ortelli
Sara van de Geer
ArXiv (abs)PDFHTML

Papers citing "Oracle inequalities for square root analysis estimators with application to total variation penalties"

17 / 17 papers shown
Title
Prediction bounds for higher order total variation regularized least
  squares
Prediction bounds for higher order total variation regularized least squares
Francesco Ortelli
Sara van de Geer
60
21
0
24 Apr 2019
New Risk Bounds for 2D Total Variation Denoising
New Risk Bounds for 2D Total Variation Denoising
S. Chatterjee
Subhajit Goswami
64
21
0
04 Feb 2019
Synthesis and analysis in total variation regularization
Synthesis and analysis in total variation regularization
Francesco Ortelli
Sara van de Geer
31
12
0
18 Jan 2019
On the total variation regularized estimator over a class of tree graphs
On the total variation regularized estimator over a class of tree graphs
Francesco Ortelli
Sara van de Geer
35
19
0
04 Jun 2018
On tight bounds for the Lasso
On tight bounds for the Lasso
Sara van de Geer
42
18
0
03 Apr 2018
Improved bounds for Square-Root Lasso and Square-Root Slope
Improved bounds for Square-Root Lasso and Square-Root Slope
A. Derumigny
269
26
0
08 Mar 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
The DFS Fused Lasso: Linear-Time Denoising over General Graphs
The DFS Fused Lasso: Linear-Time Denoising over General Graphs
Oscar Hernan Madrid Padilla
James G. Scott
James Sharpnack
Robert Tibshirani
FedML
90
67
0
11 Aug 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
69
74
0
26 May 2016
Optimal rates for total variation denoising
Optimal rates for total variation denoising
Jan-Christian Hütter
Philippe Rigollet
57
33
0
30 Mar 2016
Sharp Oracle Inequalities for Square Root Regularization
Sharp Oracle Inequalities for Square Root Regularization
Benjamin Stucky
Sara van de Geer
58
33
0
14 Sep 2015
Trend Filtering on Graphs
Trend Filtering on Graphs
Yu Wang
James Sharpnack
Alex Smola
Robert Tibshirani
69
243
0
28 Oct 2014
On the Prediction Performance of the Lasso
On the Prediction Performance of the Lasso
A. Dalalyan
Mohamed Hebiri
Johannes Lederer
170
167
0
07 Feb 2014
The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms
The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms
F. Bunea
Johannes Lederer
Yiyuan She
138
110
0
01 Feb 2013
Scaled Sparse Linear Regression
Scaled Sparse Linear Regression
Tingni Sun
Cun-Hui Zhang
204
508
0
24 Apr 2011
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic
  Programming
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming
A. Belloni
Victor Chernozhukov
Lie Wang
197
675
0
28 Sep 2010
The solution path of the generalized lasso
The solution path of the generalized lasso
Robert Tibshirani
Jonathan E. Taylor
237
866
0
11 May 2010
1