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The DFS Fused Lasso: Linear-Time Denoising over General Graphs

The DFS Fused Lasso: Linear-Time Denoising over General Graphs

11 August 2016
Oscar Hernan Madrid Padilla
James G. Scott
James Sharpnack
Robert Tibshirani
    FedML
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Papers citing "The DFS Fused Lasso: Linear-Time Denoising over General Graphs"

24 / 24 papers shown
Title
Understanding the Effect of GCN Convolutions in Regression Tasks
Understanding the Effect of GCN Convolutions in Regression Tasks
Juntong Chen
Johannes Schmidt-Hieber
Claire Donnat
Olga Klopp
GNN
67
0
0
26 Oct 2024
Untangling Lariats: Subgradient Following of Variationally Penalized Objectives
Untangling Lariats: Subgradient Following of Variationally Penalized Objectives
Kai-Chia Mo
Shai Shalev-Shwartz
Nisael Shártov
74
0
0
07 May 2024
Approximate Recovery in Changepoint Problems, from $\ell_2$ Estimation
  Error Rates
Approximate Recovery in Changepoint Problems, from ℓ2\ell_2ℓ2​ Estimation Error Rates
Kevin Lin
James Sharpnack
Alessandro Rinaldo
Robert Tibshirani
38
27
0
21 Jun 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
49
74
0
26 May 2016
Optimal rates for total variation denoising
Optimal rates for total variation denoising
Jan-Christian Hütter
Philippe Rigollet
42
33
0
30 Mar 2016
Regression modeling on stratified data with the lasso
Regression modeling on stratified data with the lasso
E. Ollier
V. Viallon
31
32
0
22 Aug 2015
A Fast and Flexible Algorithm for the Graph-Fused Lasso
A Fast and Flexible Algorithm for the Graph-Fused Lasso
Wesley Tansey
James G. Scott
107
35
0
24 May 2015
Total variation on a tree
Total variation on a tree
V. Kolmogorov
Thomas Pock
Michal Rolínek
49
42
0
26 Feb 2015
Modular proximal optimization for multidimensional total-variation
  regularization
Modular proximal optimization for multidimensional total-variation regularization
Á. Jiménez
S. Sra
79
120
0
03 Nov 2014
Trend Filtering on Graphs
Trend Filtering on Graphs
Yu Wang
James Sharpnack
Alex Smola
Robert Tibshirani
62
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
146
167
0
07 Feb 2014
On change point detection using the fused lasso method
On change point detection using the fused lasso method
C. Rojas
B. Wahlberg
50
53
0
21 Jan 2014
Adaptive piecewise polynomial estimation via trend filtering
Adaptive piecewise polynomial estimation via trend filtering
Robert Tibshirani
71
396
0
10 Apr 2013
Random Spanning Trees and the Prediction of Weighted Graphs
Random Spanning Trees and the Prediction of Weighted Graphs
Nicolò Cesa-Bianchi
Claudio Gentile
Fabio Vitale
Giovanni Zappella
85
47
0
21 Dec 2012
On pattern recovery of the fused Lasso
On pattern recovery of the fused Lasso
Junyang Qian
Jinzhu Jia
60
16
0
22 Nov 2012
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
120
3,972
0
31 Oct 2012
Detecting Activations over Graphs using Spanning Tree Wavelet Bases
Detecting Activations over Graphs using Spanning Tree Wavelet Bases
James Sharpnack
A. Krishnamurthy
Aarti Singh
62
53
0
05 Jun 2012
Degrees of freedom in lasso problems
Degrees of freedom in lasso problems
Robert Tibshirani
Jonathan E. Taylor
103
363
0
02 Nov 2011
The solution path of the generalized lasso
The solution path of the generalized lasso
Robert Tibshirani
Jonathan E. Taylor
199
864
0
11 May 2010
Detecting Weak but Hierarchically-Structured Patterns in Networks
Detecting Weak but Hierarchically-Structured Patterns in Networks
Aarti Singh
Robert D. Nowak
Robert Calderbank
GNN
94
27
0
28 Feb 2010
Minimax rates of estimation for high-dimensional linear regression over
  $\ell_q$-balls
Minimax rates of estimation for high-dimensional linear regression over ℓq\ell_qℓq​-balls
Garvesh Raskutti
Martin J. Wainwright
Bin Yu
199
575
0
11 Oct 2009
A path algorithm for the Fused Lasso Signal Approximator
A path algorithm for the Fused Lasso Signal Approximator
Holger Hoefling
170
252
0
03 Oct 2009
Graph Kernels
Graph Kernels
S.V.N. Vishwanathan
Karsten Borgwardt
I. Kondor
N. Schraudolph
139
1,203
0
01 Jul 2008
Properties and refinements of the fused lasso
Properties and refinements of the fused lasso
Alessandro Rinaldo
106
183
0
02 May 2008
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