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1209.5908
Cited By
Correlated variables in regression: clustering and sparse estimation
26 September 2012
Peter Buhlmann
Philipp Rutimann
Sara van de Geer
Cun-Hui Zhang
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Papers citing
"Correlated variables in regression: clustering and sparse estimation"
43 / 43 papers shown
Learning under Latent Group Sparsity via Diffusion on Networks
Subhroshekhar Ghosh
Soumendu Sundar Mukherjee
106
0
0
20 Jul 2025
Lasso and Partially-Rotated Designs
Rares-Darius Buhai
231
0
0
16 May 2025
Feature Adaptation for Sparse Linear Regression
Neural Information Processing Systems (NeurIPS), 2023
Jonathan A. Kelner
Frederic Koehler
Raghu Meka
Dhruv Rohatgi
193
8
0
26 May 2023
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension
Neural Information Processing Systems (NeurIPS), 2022
Binh Duc Nguyen
Bertrand Thirion
Sylvain Arlot
92
6
0
29 May 2022
Inference of Multiscale Gaussian Graphical Model
Do Edmond Sanou
Christophe Ambroise
Geneviève Robin
233
1
0
11 Feb 2022
VC-PCR: A Prediction Method based on Supervised Variable Selection and Clustering
Rebecca Marion
Johannes Lederer
B. Govaerts
R. Sachs
108
0
0
02 Feb 2022
Learning with latent group sparsity via heat flow dynamics on networks
Subhro Ghosh
Soumendu Sundar Mukherjee
AI4CE
138
2
0
20 Jan 2022
Cluster Stability Selection
Gregory Faletto
Jacob Bien
155
6
0
03 Jan 2022
Cluster Regularization via a Hierarchical Feature Regression
Econometrics and Statistics (ES), 2021
Johann Pfitzinger
172
1
0
10 Jul 2021
Pre-processing with Orthogonal Decompositions for High-dimensional Explanatory Variables
Xu Han
Ethan X. Fang
C. Tang
203
0
0
16 Jun 2021
On the Use of Minimum Penalties in Statistical Learning
Journal of Computational And Graphical Statistics (JCGS), 2021
Ben Sherwood
Bradley S. Price
95
2
0
09 Jun 2021
Spatially relaxed inference on high-dimensional linear models
Statistics and computing (Stat Comput), 2021
Jérôme-Alexis Chevalier
Tuan-Binh Nguyen
Bertrand Thirion
Joseph Salmon
191
1
0
04 Jun 2021
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives
Annals of Statistics (Ann. Stat.), 2021
Hussein Hazimeh
Rahul Mazumder
P. Radchenko
647
30
0
14 Apr 2021
A Two-Stage Variable Selection Approach for Correlated High Dimensional Predictors
Zhiyuan Li
88
0
0
24 Mar 2021
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso
Jérôme-Alexis Chevalier
Alexandre Gramfort
Joseph Salmon
Bertrand Thirion
324
10
0
29 Sep 2020
Robust Grouped Variable Selection Using Distributionally Robust Optimization
Journal of Optimization Theory and Applications (JOTA), 2020
Ruidi Chen
I. Paschalidis
OOD
319
3
0
10 Jun 2020
Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs
Annual Conference Computational Learning Theory (COLT), 2020
Sheng Xu
Z. Fan
S. Negahban
158
0
0
31 May 2020
The Trimmed Lasso: Sparse Recovery Guarantees and Practical Optimization by the Generalized Soft-Min Penalty
Tal Amir
Ronen Basri
B. Nadler
289
14
0
18 May 2020
Concept Tree: High-Level Representation of Variables for More Interpretable Surrogate Decision Trees
X. Renard
Nicolas Woloszko
Jonathan Aigrain
Marcin Detyniecki
98
12
0
04 Jun 2019
Iterative Alpha Expansion for estimating gradient-sparse signals from linear measurements
Sheng Xu
Z. Fan
164
6
0
15 May 2019
Sparse Learning for Variable Selection with Structures and Nonlinearities
Magda Gregorova
230
1
0
26 Mar 2019
ECKO: Ensemble of Clustered Knockoffs for multivariate inference on fMRI data
Tuan-Binh Nguyen
Jérôme-Alexis Chevalier
Bertrand Thirion
161
9
0
12 Mar 2019
The Mismatch Principle: The Generalized Lasso Under Large Model Uncertainties
Martin Genzel
Gitta Kutyniok
206
2
0
20 Aug 2018
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data
Sergul Aydore
Bertrand Thirion
Gaël Varoquaux
OOD
203
4
0
31 Jul 2018
Graph-based regularization for regression problems with alignment and highly-correlated designs
Yuan Li
Benjamin Mark
Garvesh Raskutti
Rebecca Willett
Hyebin Song
David Neiman
324
23
0
20 Mar 2018
Semi-standard partial covariance variable selection when irrepresentable conditions fail
Fei Xue
Annie Qu
136
6
0
14 Sep 2017
A Cluster Elastic Net for Multivariate Regression
Bradley S. Price
Ben Sherwood
290
18
0
12 Jul 2017
Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals
Andrés Hoyos-Idrobo
Gaël Varoquaux
J. Kahn
Bertrand Thirion
210
22
0
15 Sep 2016
A Mathematical Framework for Feature Selection from Real-World Data with Non-Linear Observations
Martin Genzel
Gitta Kutyniok
159
13
0
31 Aug 2016
Efficient Clustering of Correlated Variables and Variable Selection in High-Dimensional Linear Models
N. Gauraha
S. Parui
131
2
0
11 Mar 2016
Fast clustering for scalable statistical analysis on structured images
Bertrand Thirion
Andrés Hoyos-Idrobo
J. Kahn
Gaël Varoquaux
125
0
0
16 Nov 2015
A sequential rejection testing method for high-dimensional regression with correlated variables
Jacopo Mandozzi
Peter Buhlmann
234
10
0
11 Feb 2015
Randomized Structural Sparsity via Constrained Block Subsampling for Improved Sensitivity of Discriminative Voxel Identification
Yilun Wang
Junjie Zheng
Sheng Zhang
Xujun Duan
Huafu Chen
OOD
195
17
0
17 Oct 2014
Sparse Estimation with Strongly Correlated Variables using Ordered Weighted L1 Regularization
Mário A. T. Figueiredo
Robert D. Nowak
355
31
0
14 Sep 2014
Extensions of stability selection using subsamples of observations and covariates
Statistics and computing (Stat Comput), 2014
A. Beinrucker
Ürün Dogan
Gilles Blanchard
272
21
0
18 Jul 2014
Sparse Quadratic Discriminant Analysis and Community Bayes
Ya Le
Trevor Hastie
272
10
0
17 Jul 2014
Bayesian linear regression with sparse priors
I. Castillo
Johannes Schmidt-Hieber
A. van der Vaart
572
401
0
04 Mar 2014
On the Prediction Performance of the Lasso
A. Dalalyan
Mohamed Hebiri
Johannes Lederer
479
172
0
07 Feb 2014
Hierarchical Testing in the High-Dimensional Setting with Correlated Variables
Jacopo Mandozzi
Peter Buhlmann
284
38
0
19 Dec 2013
Swapping Variables for High-Dimensional Sparse Regression with Correlated Measurements
Divyanshu Vats
Richard G. Baraniuk
236
5
0
05 Dec 2013
A Component Lasso
Nadine Hussami
Robert Tibshirani
261
4
0
18 Nov 2013
The Cluster Graphical Lasso for improved estimation of Gaussian graphical models
Computational Statistics & Data Analysis (CSDA), 2013
Kean Ming Tan
Daniela Witten
Ali Shojaie
247
74
0
19 Jul 2013
High-Dimensional Screening Using Multiple Grouping of Variables
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2012
Divyanshu Vats
301
5
0
09 Aug 2012
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