A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind
Deconvolution

v1v2v3 (latest)

A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution

28 August 2019

Qing Qu

ArXiv (abs)PDF HTML

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

17 / 17 papers shown

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 82 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 54 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 72 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