Enhancing Sparsity by Reweighted L1 Minimization

10 November 2007

Emmanuel J. Candes

Papers citing "Enhancing Sparsity by Reweighted L1 Minimization"

50 / 139 papers shown

Title
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties Jitendra K Tugnait 21 0 0 14 May 2025
Super-fast rates of convergence for Neural Networks Classifiers under the Hard Margin Condition Nathanael Tepakbong Ding-Xuan Zhou Xiang Zhou 39 0 0 13 May 2025
An incremental algorithm for non-convex AI-enhanced medical image processing Elena Morotti 34 0 0 13 May 2025
Adaptive Extrapolated Proximal Gradient Methods with Variance Reduction for Composite Nonconvex Finite-Sum Minimization Ganzhao Yuan 43 0 0 28 Feb 2025
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks Giulia Fracastoro Sophie M. Fosson Andrea Migliorati G. Calafiore 40 1 0 19 Jan 2025
ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification Siva Viknesh Younes Tatari Amirhossein Arzani 26 1 0 21 Oct 2024
Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging E. Morotti Davide Evangelista Andrea Sebastiani E. L. Piccolomini 43 1 0 25 Apr 2024
Quantum Algorithms for the Pathwise Lasso J. F. Doriguello Debbie Lim Chi Seng Pun Patrick Rebentrost Tushar Vaidya 40 1 0 21 Dec 2023
Leveraging joint sparsity in hierarchical Bayesian learning J. Glaubitz Anne Gelb 19 5 0 29 Mar 2023
Sequential Hierarchical Least-Squares Programming for Prioritized Non-Linear Optimal Control Kai Pfeiffer A. Kheddar 13 3 0 23 Feb 2023
Rank-Minimizing and Structured Model Inference P. Goyal Benjamin Peherstorfer P. Benner 11 1 0 19 Feb 2023
$Learning Trees of $\ell_0$-Minimization Problems$ Learning Trees of $\ell_0$ -Minimization Problems G. Welper 21 0 0 06 Feb 2023
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 32 63 0 30 Nov 2022
LiSnowNet: Real-time Snow Removal for LiDAR Point Cloud Ming-Yuan Yu Ram Vasudevan Matthew Johnson-Roberson 3DPC 22 17 0 18 Nov 2022
$Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty$ Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty Nathan Wycoff Ali Arab Katharine M. Donato Lisa O. Singh 20 3 0 09 Nov 2022
A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems Jihoon Chung Bo Shen Zhenyu Zhen Kong 12 2 0 28 Oct 2022
Majorization-minimization for Sparse Nonnegative Matrix Factorization with the $β$ -divergence Arthur Marmin J. H. D. M. Goulart Cédric Févotte 12 7 0 13 Jul 2022
Sparse-Group Log-Sum Penalized Graphical Model Learning For Time Series Jitendra Tugnait 15 6 0 29 Apr 2022
Online Weak-form Sparse Identification of Partial Differential Equations Daniel Messenger E. Dall’Anese David M. Bortz 41 13 0 08 Mar 2022
Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning Alex Gu Songtao Lu Parikshit Ram Tsui-Wei Weng 32 10 0 03 Mar 2022
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods Aleksandr Beznosikov Eduard A. Gorbunov Hugo Berard Nicolas Loizou 19 47 0 15 Feb 2022
GenMod: A generative modeling approach for spectral representation of PDEs with random inputs Jacqueline Wentz Alireza Doostan 24 1 0 31 Jan 2022
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study A. Cortiella K. Park Alireza Doostan 9 15 0 29 Jan 2022
Minimax risk classifiers with 0-1 loss Santiago Mazuelas Mauricio Romero Peter Grünwald 32 6 0 17 Jan 2022
Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity Jian-Feng Cai José Vinícius de Miranda Cardoso Daniel P. Palomar Jiaxi Ying 32 10 0 03 Dec 2021
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration Yifan Gong Geng Yuan Zheng Zhan Wei Niu Zhengang Li ... Sijia Liu Bin Ren Xue Lin Xulong Tang Yanzhi Wang 20 10 0 22 Nov 2021
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso Kenan Sehic Alexandre Gramfort Joseph Salmon Luigi Nardi 22 35 0 04 Nov 2021
Support Recovery with Stochastic Gates: Theory and Application for Linear Models Soham Jana Henry Li Yutaro Yamada Ofir Lindenbaum 25 5 0 29 Oct 2021
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization Paul Mangold A. Bellet Joseph Salmon Marc Tommasi 30 14 0 22 Oct 2021
AIR-Net: Adaptive and Implicit Regularization Neural Network for Matrix Completion Zhemin Li Tao Sun Hongxia Wang Bao Wang 42 6 0 12 Oct 2021
Joint inference of multiple graphs with hidden variables from stationary graph signals Samuel Rey Andrei Buciulea Madeline Navarro Santiago Segarra A. Marques 30 8 0 05 Oct 2021
Structured Pattern Pruning Using Regularization Dongju Park Geunghee Lee 18 0 0 18 Sep 2021
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search Zheng Zhan Yifan Gong Pu Zhao Geng Yuan Wei Niu ... Malith Jayaweera David Kaeli Bin Ren Xue Lin Yanzhi Wang SupR 27 41 0 18 Aug 2021
Sparse Bayesian Learning via Stepwise Regression Sebastian Ament Carla P. Gomes 14 5 0 11 Jun 2021
Deep Unfolding of Iteratively Reweighted ADMM for Wireless RF Sensing U. M. Thanthrige P. Jung Aydin Sezgin 15 7 0 07 Jun 2021
A general framework of rotational sparse approximation in uncertainty quantification Mengqi Hu Y. Lou Xiu Yang 19 0 0 13 Jan 2021
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate C. Kümmerle C. M. Verdun Dominik Stöger 28 14 0 22 Dec 2020
Sparse Signal Reconstruction for Nonlinear Models via Piecewise Rational Optimization Arthur Marmin M. Castella J. Pesquet L. Duval 13 7 0 29 Oct 2020
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning Bingbing Li Zhenglun Kong Tianyun Zhang Ji Li ZeLin Li Hang Liu Caiwen Ding VLM 24 64 0 17 Sep 2020
Training Sparse Neural Networks using Compressed Sensing Jonathan W. Siegel Jianhong Chen Pengchuan Zhang Jinchao Xu 26 5 0 21 Aug 2020
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Completion Yaqing Wang Quanming Yao James T. Kwok 16 0 0 14 Aug 2020
Limited-angle CT reconstruction via the L1/L2 minimization Chao Wang M. Tao J. Nagy Y. Lou 40 50 0 31 May 2020
Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation Haijin Zeng Xiaozhen Xie J. Ning 50 48 0 30 May 2020
$Analysis of The Ratio of $\ell_1$ and $\ell_2$ Norms in Compressed Sensing$ Analysis of The Ratio of $\ell_1$ and $\ell_2$ Norms in Compressed Sensing Yiming Xu A. Narayan Hoang Tran Clayton Webster 12 6 0 13 Apr 2020
Sparse Optimization for Green Edge AI Inference Xiangyu Yang Sheng Hua Yuanming Shi Hao Wang Jun Zhang Khaled B. Letaief 19 14 0 24 Feb 2020
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method Xiaolong Ma ZeLin Li Yifan Gong Tianyun Zhang Wei Niu ... Pu Zhao Jian Tang X. Lin Bin Ren Yanzhi Wang 10 14 0 23 Jan 2020
Audio Inpainting: Revisited and Reweighted Ondřej Mokrý P. Rajmic 17 20 0 08 Jan 2020
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