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Structured Local Optima in Sparse Blind Deconvolution

1 June 2018

Papers citing "Structured Local Optima in Sparse Blind Deconvolution"

21 / 21 papers shown

Title
Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings Evan Markou Thalaiyasingam Ajanthan Stephen Gould 35 0 0 10 Jun 2025
Optimal vintage factor analysis with deflation varimax Xin Bing Dian Jin Yuqian Zhang Yuqian Zhang 441 2 0 16 Oct 2023
Revisiting Sparse Convolutional Model for Visual Recognition Xili Dai Mingyang Li Pengyuan Zhai Shengbang Tong Xingjian Gao Shao-Lun Huang Zhihui Zhu Chong You Yi Ma FAtt 89 30 0 24 Oct 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold Can Yaras Peng Wang Zhihui Zhu Laura Balzano Qing Qu 66 44 0 19 Sep 2022
Blind Image Deblurring with Unknown Kernel Size and Substantial Noise Zhong Zhuang Taihui Li Hengkang Wang Ju Sun 78 20 0 18 Aug 2022
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games Druv Pai Michael Psenka Chih-Yuan Chiu Manxi Wu Yan Sun Yi Ma 91 6 0 18 Jun 2022
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation Florian Bernard Zorah Lähner J. Thunberg 147 11 0 30 Sep 2021
Unique sparse decomposition of low rank matrices Dian Jin Xin Bing Yuqian Zhang 149 4 0 14 Jun 2021
Convex Sparse Blind Deconvolution Qingyun Sun D. Donoho 59 4 0 13 Jun 2021
A Geometric Analysis of Neural Collapse with Unconstrained Features Zhihui Zhu Tianyu Ding Jinxin Zhou Xiao Li Chong You Jeremias Sulam Qing Qu 98 204 0 06 May 2021
Efficient Sparse Coding using Hierarchical Riemannian Pursuit Ye Xue Vincent K. N. Lau Songfu Cai 172 3 0 21 Apr 2021
From Symmetry to Geometry: Tractable Nonconvex Problems Yuqian Zhang Qing Qu John N. Wright 89 45 0 14 Jul 2020
$Complete Dictionary Learning via $\ell_p$-norm Maximization$ Complete Dictionary Learning via $\ell_p$ -norm Maximization Yifei Shen Ye Xue Jun Zhang Khaled B. Letaief Vincent K. N. Lau 77 15 0 24 Feb 2020
Analysis of the Optimization Landscapes for Overcomplete Representation Learning Qing Qu Yuexiang Zhai Xiao Li Yuqian Zhang Zhihui Zhu 117 10 0 05 Dec 2019
Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently Laixi Shi Yuejie Chi 108 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 91 30 0 28 Aug 2019
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution Qing Qu Xiao Li Zhihui Zhu 105 31 0 28 Aug 2019
Geometry and Symmetry in Short-and-Sparse Deconvolution Han-Wen Kuo Yenson Lau Yuqian Zhang John N. Wright 91 44 0 02 Jan 2019
Subgradient Descent Learns Orthogonal Dictionaries Yu Bai Qijia Jiang Ju Sun 167 51 0 25 Oct 2018
Multichannel Sparse Blind Deconvolution on the Sphere Yanjun Li Y. Bresler 68 16 0 26 May 2018
Convolutional Phase Retrieval via Gradient Descent Qing Qu Yuqian Zhang Yonina C. Eldar John N. Wright 107 30 0 03 Dec 2017