$Near-ideal model selection by $\ell_1$ minimization$

Near-ideal model selection by $\ell_1$ minimization

2 January 2008

Emmanuel J. Candès

Papers citing "Near-ideal model selection by $\ell_1$ minimization"

15 / 15 papers shown

Title
BELLA: Black box model Explanations by Local Linear Approximations N. Radulovic Albert Bifet Fabian M. Suchanek FAtt 34 1 0 18 May 2023
Stochastic Mirror Descent for Large-Scale Sparse Recovery Sasila Ilandarideva Yannis Bekri A. Juditsky Vianney Perchet 25 1 0 23 Oct 2022
A Survey of Tuning Parameter Selection for High-dimensional Regression Y. Wu Lan Wang 39 35 0 10 Aug 2019
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference Sen Zhao Daniela Witten Ali Shojaie 41 57 0 16 May 2017
Error Bounds for Compressed Sensing Algorithms With Group Sparsity: A Unified Approach M. Ahsen M. Vidyasagar 17 35 0 29 Dec 2015
Machine Learning Methods in the Computational Biology of Cancer M. Vidyasagar 37 37 0 24 Feb 2014
A significance test for the lasso R. Lockhart Jonathan E. Taylor R. Tibshirani Robert Tibshirani 64 656 0 30 Jan 2013
Robust subspace clustering Mahdi Soltanolkotabi Ehsan Elhamifar Emmanuel J. Candès 66 365 0 11 Jan 2013
Detecting Events and Patterns in Large-Scale User Generated Textual Streams with Statistical Learning Methods Vasileios Lampos 58 13 0 13 Aug 2012
Compressed Sensing and Matrix Completion with Constant Proportion of Corruptions Xiaodong Li 70 179 0 06 Apr 2011
Limiting Laws of Coherence of Random Matrices with Applications to Testing Covariance Structure and Construction of Compressed Sensing Matrices Tony Cai Tiefeng Jiang 43 197 0 14 Feb 2011
Peak Reduction and Clipping Mitigation by Compressive Sensing Ebrahim B. Al-Safadi Tareq Y. Al-Naffouri 71 56 0 22 Jan 2011
Adaptive Dantzig density estimation Karine Bertin E. L. Pennec Vincent Rivoirard 120 45 0 06 May 2009
Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise Z. Ben-Haim Yonina C. Eldar Michael Elad 63 255 0 26 Mar 2009
$Honest variable selection in linear and logistic regression models via $\ell_1$ and $\ell_1+\ell_2$ penalization$ Honest variable selection in linear and logistic regression models via $\ell_1$ and $\ell_1+\ell_2$ penalization F. Bunea 80 145 0 29 Aug 2008