Lasso-type recovery of sparse representations for high-dimensional data

1 June 2008

Papers citing "Lasso-type recovery of sparse representations for high-dimensional data"

50 / 60 papers shown

Title
Mallows-type model averaging: Non-asymptotic analysis and all-subset combination Jingfu Peng MoMe 37 0 0 05 May 2025
Low-Rank Tensor Completion via Novel Sparsity-Inducing Regularizers Zhi-yong Wang H. C. So A. Zoubir 33 5 0 10 Oct 2023
Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators Hang Zhang Ping Li 18 6 0 20 Mar 2023
Uncertainty quantification for sparse Fourier recovery F. Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 27 7 0 30 Dec 2022
Meta Sparse Principal Component Analysis Imon Banerjee Jean Honorio 19 0 0 18 Aug 2022
High Dimensional Generalised Penalised Least Squares Ilias Chronopoulos Katerina Chrysikou G. Kapetanios 18 2 0 14 Jul 2022
Provable Guarantees for Sparsity Recovery with Deterministic Missing Data Patterns Chuyang Ke Jean Honorio 10 0 0 10 Jun 2022
Stability and Risk Bounds of Iterative Hard Thresholding Xiao-Tong Yuan P. Li 37 12 0 17 Mar 2022
A Bernstein-type Inequality for High Dimensional Linear Processes with Applications to Robust Estimation of Time Series Regressions Linbo Liu Danna Zhang AI4TS 40 1 0 21 Sep 2021
Lasso Inference for High-Dimensional Time Series R. Adámek Stephan Smeekes Ines Wilms AI4TS 26 33 0 21 Jul 2020
Provable Training Set Debugging for Linear Regression Xiaomin Zhang Xiaojin Zhu Po-Ling Loh 18 0 0 16 Jun 2020
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models Fei-Yue Wang Ling Zhou Lu Tang P. Song 20 4 0 04 Aug 2019
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning Fei Wen L. Chu Peilin Liu Robert C. Qiu 23 153 0 16 Aug 2018
$When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications$ When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$ -consistency and Neuroscience Applications H. Zhou Yilin Zhang V. Ithapu Sterling C. Johnson G. Wahba Vikas Singh OOD 28 11 0 02 Sep 2017
Fine-Gray competing risks model with high-dimensional covariates: estimation and Inference Jue Hou Jelena Bradic R. Xu 30 0 0 29 Jul 2017
A Cluster Elastic Net for Multivariate Regression Bradley S. Price Ben Sherwood 31 17 0 12 Jul 2017
Confidence Bands for Coefficients in High Dimensional Linear Models with Error-in-variables A. Belloni Victor Chernozhukov A. Kaul 31 18 0 01 Mar 2017
Dynamic Pricing in High-dimensions Adel Javanmard Hamid Nazerzadeh 66 136 0 24 Sep 2016
Robust Confidence Intervals in High-Dimensional Left-Censored Regression Jelena Bradic Jiaqi Guo 13 1 0 22 Sep 2016
High-dimensional regression adjustments in randomized experiments Stefan Wager Wenfei Du Jonathan E. Taylor Robert Tibshirani 34 116 0 22 Jul 2016
Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions Susan Athey Guido Imbens Stefan Wager CML 35 387 0 25 Apr 2016
Consistent Parameter Estimation for LASSO and Approximate Message Passing Ali Mousavi A. Maleki Richard G. Baraniuk 11 58 0 03 Nov 2015
Prediction error of cross-validated Lasso S. Chatterjee Jafar Jafarov 48 42 0 23 Feb 2015
Model Selection Consistency of Lasso for Empirical Data Yuehan Yang Hu Yang 29 2 0 06 Feb 2015
Sparse Representation Classification Beyond L1 Minimization and the Subspace Assumption Cencheng Shen Li-Wei Chen Yuexiao Dong Carey E. Priebe BDL 22 9 0 04 Feb 2015
Support recovery without incoherence: A case for nonconvex regularization Po-Ling Loh Martin J. Wainwright 33 169 0 17 Dec 2014
A new perspective on least squares under convex constraint S. Chatterjee 51 114 0 04 Feb 2014
An RKHS Approach to Estimation with Sparsity Constraints A. Jung 38 3 0 22 Nov 2013
Asymptotic Analysis of LASSOs Solution Path with Implications for Approximate Message Passing Ali Mousavi A. Maleki Richard G. Baraniuk 30 20 0 23 Sep 2013
A framework to characterize performance of LASSO algorithms M. Stojnic 50 128 0 29 Mar 2013
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 46 1,123 0 03 Mar 2013
The Lasso for High-Dimensional Regression with a Possible Change-Point S. Lee M. Seo Youngki Shin 66 124 0 21 Sep 2012
Structured Estimation in Nonparameteric Cox Model Jelena Bradic R. Song 58 10 0 18 Jul 2012
Statistical significance in high-dimensional linear models Peter Buhlmann 91 228 0 07 Feb 2012
Estimation And Selection Via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications Jian Huang Cun-Hui Zhang 48 61 0 29 Dec 2011
Robust Lasso with missing and grossly corrupted observations Nam H. Nguyen T. Tran 58 155 0 02 Dec 2011
Structured sparsity through convex optimization Francis R. Bach Rodolphe Jenatton Julien Mairal G. Obozinski 74 323 0 12 Sep 2011
Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation Xiaowei Zhou Can Yang Weichuan Yu 60 637 0 05 Sep 2011
Regression on manifolds: Estimation of the exterior derivative A. Aswani Peter J. Bickel Claire Tomlin 49 71 0 08 Mar 2011
PAC-Bayesian aggregation and multi-armed bandits Jean-Yves Audibert 98 21 0 15 Nov 2010
Variable selection in nonparametric additive models Jian Huang J. Horowitz Fengrong Wei 108 547 0 20 Oct 2010
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming A. Belloni Victor Chernozhukov Lie Wang 62 667 0 28 Sep 2010
High-dimensional covariance estimation based on Gaussian graphical models Shuheng Zhou Philipp Rütimann Min Xu Peter Buhlmann 92 91 0 02 Sep 2010
Nearly unbiased variable selection under minimax concave penalty Cun-Hui Zhang 77 3,516 0 25 Feb 2010
Thresholded Lasso for high dimensional variable selection and statistical estimation Shuheng Zhou 110 50 0 08 Feb 2010
On the conditions used to prove oracle results for the Lasso Sara van de Geer Peter Buhlmann 77 728 0 05 Oct 2009
Adaptive Dantzig density estimation Karine Bertin E. L. Pennec Vincent Rivoirard 120 45 0 06 May 2009
$Simultaneous support recovery in high dimensions: Benefits and perils of block $\ell_1/\ell_\infty$-regularization$ Simultaneous support recovery in high dimensions: Benefits and perils of block $\ell_1/\ell_\infty$ -regularization S. Negahban Martin J. Wainwright 124 65 0 05 May 2009
Model-Consistent Sparse Estimation through the Bootstrap Francis R. Bach 62 32 0 21 Jan 2009
Thresholding-based Iterative Selection Procedures for Model Selection and Shrinkage Yiyuan She 69 156 0 30 Dec 2008