Enhancing Sparsity by Reweighted L1 Minimization

10 November 2007

Emmanuel J. Candes

Papers citing "Enhancing Sparsity by Reweighted L1 Minimization"

50 / 146 papers shown

Title
Multi-subject MEG/EEG source imaging with sparse multi-task regression H. Janati Yonas T. Tadesse B. Thirion Marco Cuturi Alexandre Gramfort 27 32 0 03 Oct 2019
Machine Discovery of Partial Differential Equations from Spatiotemporal Data Ye Yuan Junlin Li Liang Li Frank Jiang Xiuchuan Tang ... J. Gonçalves H. Voss Xiuting Li J. Kurths Han Ding AI4CE 9 9 0 15 Sep 2019
Learning sparsity in reservoir computing through a novel bio-inspired algorithm Luca Manneschi Andrew C. Lin Eleni Vasilaki 12 1 0 19 Jul 2019
Single Image Super-Resolution via CNN Architectures and TV-TV Minimization Marija Vella João F. C. Mota SupR 21 10 0 11 Jul 2019
Blind identification of stochastic block models from dynamical observations Michael T. Schaub Santiago Segarra J. Tsitsiklis 14 33 0 22 May 2019
$Unique Sharp Local Minimum in $\ell_1$-minimization Complete Dictionary Learning$ Unique Sharp Local Minimum in $\ell_1$ -minimization Complete Dictionary Learning Yu Wang Siqi Wu Bin Yu 13 5 0 22 Feb 2019
Screening Rules for Lasso with Non-Convex Sparse Regularizers A. Rakotomamonjy Gilles Gasso Joseph Salmon 36 24 0 16 Feb 2019
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence Yi Tian Xu Qi Qi Qihang Lin R. L. Jin Tianbao Yang 35 40 0 28 Nov 2018
Nonconvex and Nonsmooth Sparse Optimization via Adaptively Iterative Reweighted Methods Hao Wang Fan Zhang Yuanming Shi Yaohua Hu 11 28 0 24 Oct 2018
Study of Sparsity-Aware Subband Adaptive Filtering Algorithms with Adjustable Penalties Yi Yu Haiquan Zhao R. D. Lamare 14 0 0 16 Oct 2018
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines Lei Guan Linbo Qiao Dongsheng Li Tao Sun Ke-shi Ge Xicheng Lu 28 14 0 11 Sep 2018
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
Online Illumination Invariant Moving Object Detection by Generative Neural Network Fateme Bahri M. Shakeri Nilanjan Ray 8 12 0 03 Aug 2018
Proximal algorithms for large-scale statistical modeling and sensor/actuator selection A. Zare Hesameddin Mohammadi Neil K. Dhingra T. Georgiou M. Jovanović 11 44 0 04 Jul 2018
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization G. Scutari Ying Sun 35 61 0 17 May 2018
Equivalent Lipschitz surrogates for zero-norm and rank optimization problems Yulan Liu Shujun Bi S. Pan 21 29 0 30 Apr 2018
Sparse solutions in optimal control of PDEs with uncertain parameters: the linear case Chen Li G. Stadler 6 14 0 16 Apr 2018
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding Dong Liu Ke Sun Zhangyang Wang Runsheng Liu Zhengjun Zha 24 12 0 28 Feb 2018
Re-Weighted Learning for Sparsifying Deep Neural Networks Igor Fedorov Bhaskar D. Rao 17 1 0 05 Feb 2018
Scale-Space Anisotropic Total Variation for Limited Angle Tomography Yixing Huang O. Taubmann X. Huang V. Haase G. Lauritsch Andreas Maier 24 33 0 19 Dec 2017
A Theoretical Analysis of Sparse Recovery Stability of Dantzig Selector and LASSO Yun-Bin Zhao Duan Li 31 2 0 10 Nov 2017
Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration Yi Chang Luxin Yan Houzhang Fang Sheng Zhong Zhijun Zhang 20 167 0 01 Sep 2017
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives A. Cichocki Anh-Huy Phan Qibin Zhao Namgil Lee Ivan V. Oseledets Masashi Sugiyama Danilo P. Mandic 26 295 0 30 Aug 2017
A General Framework for Enhancing Sparsity of Generalized Polynomial Chaos Expansions Xiu Yang Xiaoliang Wan Lin Lin H. Lei 23 10 0 10 Jul 2017
Hyperplane Clustering Via Dual Principal Component Pursuit M. Tsakiris René Vidal 19 31 0 06 Jun 2017
Microphone Subset Selection for MVDR Beamformer Based Noise Reduction Jie Zhang S. Chepuri R. Hendriks Richard Heusdens 11 55 0 16 May 2017
Binarsity: a penalization for one-hot encoded features in linear supervised learning Mokhtar Z. Alaya Simon Bussy Stéphane Gaïffas Agathe Guilloux 31 30 0 24 Mar 2017
A GAMP Based Low Complexity Sparse Bayesian Learning Algorithm Maher Al-Shoukairi P. Schniter Bhaskar D. Rao 15 136 0 08 Mar 2017
Analyzing the Weighted Nuclear Norm Minimization and Nuclear Norm Minimization based on Group Sparse Representation Zhiyuan Zha Qiong Wang Bei Li Xinggan Zhang Xin Liu Lan Tang Yechao Bai 17 13 0 15 Feb 2017
Compressive Sensing via Convolutional Factor Analysis Xin Yuan Yunchen Pu Lawrence Carin 36 3 0 11 Jan 2017
Analyzing the group sparsity based on the rank minimization methods Zhiyuan Zha Xin Liu Xiaohua Huang Henglin Shi Yingyue Xu Qiong Wang Lan Tang Xinggan Zhang 19 76 0 28 Nov 2016
Distributed recovery of jointly sparse signals under communication constraints S. Fosson J. Matamoros C. Antón-Haro E. Magli FedML 16 24 0 08 Nov 2016
Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework Chun-Guang Li Chong You René Vidal 28 200 0 17 Oct 2016
Non Local Spatial and Angular Matching : Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising Samuel St-Jean Pierrick Coupé Maxime Descoteaux DiffM 12 72 0 23 Jun 2016
Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis Bo Jiang Tianyi Lin Shiqian Ma Shuzhong Zhang 17 146 0 09 May 2016
Depth Image Inpainting: Improving Low Rank Matrix Completion with Low Gradient Regularization Hongyang Xue Shengming Zhang Deng Cai 10 117 0 20 Apr 2016
Adaptive Least Mean Squares Estimation of Graph Signals P. Lorenzo Sergio Barbarossa P. Banelli S. Sardellitti 20 118 0 18 Feb 2016
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation Konstantinos Benidis Ying Sun P. Babu Daniel P. Palomar 31 55 0 12 Feb 2016
Robust Non-linear Regression: A Greedy Approach Employing Kernels with Application to Image Denoising G. Papageorgiou P. Bouboulis Sergios Theodoridis 16 11 0 04 Jan 2016
Fast Low-Rank Matrix Learning with Nonconvex Regularization Quanming Yao James T. Kwok Leon Wenliang Zhong 17 45 0 03 Dec 2015
Enhanced Low-Rank Matrix Approximation Ankit Parekh I. Selesnick 29 85 0 06 Nov 2015
Dual Principal Component Pursuit M. Tsakiris René Vidal 13 96 0 15 Oct 2015
New Optimisation Methods for Machine Learning Aaron Defazio 38 6 0 09 Oct 2015
Optimal Binary Classifier Aggregation for General Losses Akshay Balsubramani Y. Freund 13 11 0 01 Oct 2015
The sample complexity of weighted sparse approximation B. Bah Rachel A. Ward 15 15 0 24 Jul 2015
Dynamic Filtering of Time-Varying Sparse Signals via l1 Minimization Adam S. Charles A. Balavoine Christopher Rozell AI4TS 29 42 0 22 Jul 2015
Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM Léa Laporte Rémi Flamary S. Canu Sébastien Déjean Josiane Mothe 19 101 0 02 Jul 2015
Enhancing Sparsity of Hermite Polynomial Expansions by Iterative Rotations Xiu Yang H. Lei Nathan A. Baker Guang Lin 23 53 0 14 Jun 2015
Joint Representation Classification for Collective Face Recognition Liping Wang Songcan Chen CVBM 18 17 0 18 May 2015
Mind the duality gap: safer rules for the Lasso Olivier Fercoq Alexandre Gramfort Joseph Salmon 44 138 0 13 May 2015