A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind
Deconvolution

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A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution

28 August 2019

Qing Qu

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

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Title
Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings Evan Markou Thalaiyasingam Ajanthan Stephen Gould 31 0 0 10 Jun 2025
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing Xingyu Xu Yandi Shen Yuejie Chi Cong Ma 120 37 0 02 Feb 2023
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization Sam Buchanan Jingkai Yan Ellie Haber John N. Wright 53 3 0 09 Mar 2022
Efficient Sparse Coding using Hierarchical Riemannian Pursuit Ye Xue Vincent K. N. Lau Songfu Cai 152 3 0 21 Apr 2021
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training Sheng Liu Xiao Li Yuexiang Zhai Chong You Zhihui Zhu C. Fernandez‐Granda Qing Qu 52 26 0 01 Mar 2021
Stochastic Approximation for Online Tensorial Independent Component Analysis C. J. Li Michael I. Jordan 59 2 0 28 Dec 2020
Recent Theoretical Advances in Non-Convex Optimization Marina Danilova Pavel Dvurechensky Alexander Gasnikov Eduard A. Gorbunov Sergey Guminov Dmitry Kamzolov Innokentiy Shibaev 129 79 0 11 Dec 2020
Deep Networks from the Principle of Rate Reduction Kwan Ho Ryan Chan Yaodong Yu Chong You Haozhi Qi John N. Wright Yi-An Ma 92 21 0 27 Oct 2020
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution under Random Designs Yuxin Chen Jianqing Fan B. Wang Yuling Yan 80 16 0 04 Aug 2020
From Symmetry to Geometry: Tractable Nonconvex Problems Yuqian Zhang Qing Qu John N. Wright 87 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 52 15 0 24 Feb 2020
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications Qing Qu Zhihui Zhu Xiao Li M. Tsakiris John N. Wright René Vidal 56 20 0 20 Jan 2020
Analysis of the Optimization Landscapes for Overcomplete Representation Learning Qing Qu Yuexiang Zhai Xiao Li Yuqian Zhang Zhihui Zhu 99 10 0 05 Dec 2019
Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently Laixi Shi Yuejie Chi 86 26 0 25 Nov 2019
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods Xiao Li Shixiang Chen Zengde Deng Qing Qu Zhihui Zhu Anthony Man-Cho So 68 15 0 12 Nov 2019
Short-and-Sparse Deconvolution -- A Geometric Approach Yenson Lau Qing Qu Han-Wen Kuo Pengcheng Zhou Yuqian Zhang John N. Wright 77 30 0 28 Aug 2019
Convolutional Phase Retrieval via Gradient Descent Qing Qu Yuqian Zhang Yonina C. Eldar John N. Wright 95 30 0 03 Dec 2017