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A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution

28 August 2019

Qing Qu

Xiao Li

Zhihui Zhu

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Papers citing "A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution"

25 / 25 papers shown

Title
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications Qing Qu Zhihui Zhu Xiao Li M. Tsakiris John N. Wright René Vidal 52 20 0 20 Jan 2020
Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently Laixi Shi Yuejie Chi 73 26 0 25 Nov 2019
Short-and-Sparse Deconvolution -- A Geometric Approach Yenson Lau Qing Qu Han-Wen Kuo Pengcheng Zhou Yuqian Zhang John N. Wright 64 30 0 28 Aug 2019
Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence Vasileios Charisopoulos Yudong Chen Damek Davis Mateo Díaz Lijun Ding Dmitriy Drusvyatskiy 72 85 0 22 Apr 2019
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution Yuqian Zhang Yenson Lau Han-Wen Kuo S. Cheung A. Pasupathy John N. Wright 60 49 0 07 Jan 2019
Geometry and Symmetry in Short-and-Sparse Deconvolution Han-Wen Kuo Yenson Lau Yuqian Zhang John N. Wright 57 44 0 02 Jan 2019
Subgradient Descent Learns Orthogonal Dictionaries Yu Bai Qijia Jiang Ju Sun 126 51 0 25 Oct 2018
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview Yuejie Chi Yue M. Lu Yuxin Chen 65 426 0 25 Sep 2018
Structured Local Optima in Sparse Blind Deconvolution Yuqian Zhang Han-Wen Kuo John N. Wright 116 57 0 01 Jun 2018
Multichannel Sparse Blind Deconvolution on the Sphere Yanjun Li Y. Bresler 43 16 0 26 May 2018
Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 71 237 0 21 Mar 2018
An Overview of Robust Subspace Recovery Gilad Lerman Tyler Maunu 67 131 0 02 Mar 2018
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation Yudong Chen Yuejie Chi 92 173 0 23 Feb 2018
Non-convex Optimization for Machine Learning Prateek Jain Purushottam Kar 158 486 0 21 Dec 2017
Blind Gain and Phase Calibration via Sparse Spectral Methods Yanjun Li Kiryung Lee Y. Bresler 65 27 0 30 Nov 2017
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution Cong Ma Kaizheng Wang Yuejie Chi Yuxin Chen 105 241 0 28 Nov 2017
Convolutional Dictionary Learning: A Comparative Review and New Algorithms Cristina Garcia-Cardona B. Wohlberg 71 177 0 09 Sep 2017
Convolutional Dictionary Learning: Acceleration and Convergence Il Yong Chun Jeffrey A. Fessler 83 94 0 03 Jul 2017
Implicit Regularization in Matrix Factorization Suriya Gunasekar Blake E. Woodworth Srinadh Bhojanapalli Behnam Neyshabur Nathan Srebro 79 491 0 25 May 2017
Geometry of Optimization and Implicit Regularization in Deep Learning Behnam Neyshabur Ryota Tomioka Ruslan Salakhutdinov Nathan Srebro AI4CE 65 133 0 08 May 2017
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method Ju Sun Qing Qu John N. Wright 37 147 0 15 Nov 2015
Dual Principal Component Pursuit M. Tsakiris René Vidal 74 98 0 15 Oct 2015
Complete Dictionary Recovery over the Sphere Ju Sun Qing Qu John N. Wright 57 202 0 26 Apr 2015
Finding a sparse vector in a subspace: Linear sparsity using alternating directions Qing Qu Ju Sun John N. Wright 83 112 0 15 Dec 2014
Phase Retrieval via Wirtinger Flow: Theory and Algorithms Emmanuel Candes Xiaodong Li Mahdi Soltanolkotabi 199 1,288 0 03 Jul 2014