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Graph-based regularization for regression problems with alignment and
  highly-correlated designs

Graph-based regularization for regression problems with alignment and highly-correlated designs

20 March 2018
Yuan Li
Benjamin Mark
Garvesh Raskutti
Rebecca Willett
Hyebin Song
David Neiman
ArXivPDFHTML

Papers citing "Graph-based regularization for regression problems with alignment and highly-correlated designs"

6 / 6 papers shown
Title
DiSC: Differential Spectral Clustering of Features
DiSC: Differential Spectral Clustering of Features
Ram Dyuthi Sristi
Gal Mishne
Ariel Jaffe
15
5
0
10 Nov 2022
An Optimal Reduction of TV-Denoising to Adaptive Online Learning
An Optimal Reduction of TV-Denoising to Adaptive Online Learning
Dheeraj Baby
Xuandong Zhao
Yu Wang
19
12
0
23 Jan 2021
Langevin Monte Carlo without smoothness
Langevin Monte Carlo without smoothness
Niladri S. Chatterji
Jelena Diakonikolas
Michael I. Jordan
Peter L. Bartlett
BDL
18
43
0
30 May 2019
Rare Feature Selection in High Dimensions
Rare Feature Selection in High Dimensions
Xiaohan Yan
Jacob Bien
21
38
0
18 Mar 2018
Near-optimal compressed sensing guarantees for total variation
  minimization
Near-optimal compressed sensing guarantees for total variation minimization
Deanna Needell
Rachel A. Ward
46
89
0
11 Oct 2012
Correlated variables in regression: clustering and sparse estimation
Correlated variables in regression: clustering and sparse estimation
Peter Buhlmann
Philipp Rutimann
Sara van de Geer
Cun-Hui Zhang
80
182
0
26 Sep 2012
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