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On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution

On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution

7 January 2019
Yuqian Zhang
Yenson Lau
Han-Wen Kuo
S. Cheung
A. Pasupathy
John N. Wright
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Papers citing "On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution"

19 / 19 papers shown
Title
VDIP-TGV: Blind Image Deconvolution via Variational Deep Image Prior
  Empowered by Total Generalized Variation
VDIP-TGV: Blind Image Deconvolution via Variational Deep Image Prior Empowered by Total Generalized Variation
Tingting Wu
Zhiyan Du
Zhi Li
Feng-Lei Fan
Tieyong Zeng
28
2
0
30 Oct 2023
Blind Image Deblurring with Unknown Kernel Size and Substantial Noise
Blind Image Deblurring with Unknown Kernel Size and Substantial Noise
Zhong Zhuang
Taihui Li
Hengkang Wang
Ju Sun
17
18
0
18 Aug 2022
Blind Image Deconvolution Using Variational Deep Image Prior
Blind Image Deconvolution Using Variational Deep Image Prior
Dong Huo
Abbas Masoumzadeh
Rafsanjany Kushol
Yee-Hong Yang
48
10
0
01 Feb 2022
Unique sparse decomposition of low rank matrices
Unique sparse decomposition of low rank matrices
Dian Jin
Xin Bing
Yuqian Zhang
19
4
0
14 Jun 2021
Convex Sparse Blind Deconvolution
Convex Sparse Blind Deconvolution
Qingyun Sun
D. Donoho
15
4
0
13 Jun 2021
Escaping Saddle Points for Nonsmooth Weakly Convex Functions via
  Perturbed Proximal Algorithms
Escaping Saddle Points for Nonsmooth Weakly Convex Functions via Perturbed Proximal Algorithms
Minhui Huang
19
6
0
04 Feb 2021
Meta-learning based Alternating Minimization Algorithm for Non-convex
  Optimization
Meta-learning based Alternating Minimization Algorithm for Non-convex Optimization
Jingyuan Xia
Shengxi Li
Jun-Jie Huang
I. Jaimoukha
Deniz Gündüz
24
60
0
09 Sep 2020
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy
  Blind Deconvolution under Random Designs
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution under Random Designs
Yuxin Chen
Jianqing Fan
B. Wang
Yuling Yan
9
16
0
04 Aug 2020
From Symmetry to Geometry: Tractable Nonconvex Problems
From Symmetry to Geometry: Tractable Nonconvex Problems
Yuqian Zhang
Qing Qu
John N. Wright
26
43
0
14 Jul 2020
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth
  Optimization over the Stiefel Manifold
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold
Bokun Wang
Shiqian Ma
Lingzhou Xue
29
18
0
03 May 2020
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and
  Applications
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications
Qing Qu
Zhihui Zhu
Xiao Li
M. Tsakiris
John N. Wright
René Vidal
11
20
0
20 Jan 2020
Analysis of the Optimization Landscapes for Overcomplete Representation
  Learning
Analysis of the Optimization Landscapes for Overcomplete Representation Learning
Qing Qu
Yuexiang Zhai
Xiao Li
Yuqian Zhang
Zhihui Zhu
20
9
0
05 Dec 2019
Short-and-Sparse Deconvolution -- A Geometric Approach
Short-and-Sparse Deconvolution -- A Geometric Approach
Yenson Lau
Qing Qu
Han-Wen Kuo
Pengcheng Zhou
Yuqian Zhang
John N. Wright
17
29
0
28 Aug 2019
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind
  Deconvolution
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution
Qing Qu
Xiao Li
Zhihui Zhu
17
30
0
28 Aug 2019
The Landscape of Non-convex Empirical Risk with Degenerate Population
  Risk
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk
Shuang Li
Gongguo Tang
M. Wakin
MedIm
26
7
0
11 Jul 2019
Structured Local Optima in Sparse Blind Deconvolution
Structured Local Optima in Sparse Blind Deconvolution
Yuqian Zhang
Han-Wen Kuo
John N. Wright
24
56
0
01 Jun 2018
Multichannel Sparse Blind Deconvolution on the Sphere
Multichannel Sparse Blind Deconvolution on the Sphere
Yanjun Li
Y. Bresler
9
16
0
26 May 2018
Convolutional Phase Retrieval via Gradient Descent
Convolutional Phase Retrieval via Gradient Descent
Qing Qu
Yuqian Zhang
Yonina C. Eldar
John N. Wright
30
29
0
03 Dec 2017
Revisiting Bayesian Blind Deconvolution
Revisiting Bayesian Blind Deconvolution
David Wipf
Haichao Zhang
57
118
0
10 May 2013
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