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1901.01913
Cited By
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"
18 / 18 papers shown
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
475
2
0
30 Oct 2023
Blind Image Deblurring with Unknown Kernel Size and Substantial Noise
International Journal of Computer Vision (IJCV), 2022
Zhong Zhuang
Taihui Li
Hengkang Wang
Ju Sun
373
35
0
18 Aug 2022
Blind Image Deconvolution Using Variational Deep Image Prior
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Dong Huo
Abbas Masoumzadeh
Rafsanjany Kushol
Yee-Hong Yang
338
21
0
01 Feb 2022
Unique sparse decomposition of low rank matrices
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Dian Jin
Xin Bing
Yuqian Zhang
524
6
0
14 Jun 2021
Convex Sparse Blind Deconvolution
Qingyun Sun
D. Donoho
234
4
0
13 Jun 2021
Escaping Saddle Points for Nonsmooth Weakly Convex Functions via Perturbed Proximal Algorithms
Minhui Huang
Weiming Zhu
337
7
0
04 Feb 2021
Meta-learning based Alternating Minimization Algorithm for Non-convex Optimization
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Jingyuan Xia
Shengxi Li
Jun-Jie Huang
I. Jaimoukha
Deniz Gündüz
569
129
0
09 Sep 2020
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution under Random Designs
Yuxin Chen
Jianqing Fan
B. Wang
Yuling Yan
454
17
0
04 Aug 2020
From Symmetry to Geometry: Tractable Nonconvex Problems
Yuqian Zhang
Qing Qu
John N. Wright
439
48
0
14 Jul 2020
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold
Journal of machine learning research (JMLR), 2020
Bokun Wang
Shiqian Ma
Lingzhou Xue
329
27
0
03 May 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
199
23
0
20 Jan 2020
Analysis of the Optimization Landscapes for Overcomplete Representation Learning
Qing Qu
Yuexiang Zhai
Xiao Li
Yuqian Zhang
Zhihui Zhu
308
10
0
05 Dec 2019
Short-and-Sparse Deconvolution -- A Geometric Approach
International Conference on Learning Representations (ICLR), 2019
Yenson Lau
Qing Qu
Han-Wen Kuo
Pengcheng Zhou
Yuqian Zhang
John N. Wright
235
30
0
28 Aug 2019
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution
Neural Information Processing Systems (NeurIPS), 2019
Qing Qu
Xiao Li
Zhihui Zhu
362
31
0
28 Aug 2019
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk
Neural Information Processing Systems (NeurIPS), 2019
Shuang Li
Gongguo Tang
M. Wakin
MedIm
233
8
0
11 Jul 2019
Structured Local Optima in Sparse Blind Deconvolution
Yuqian Zhang
Han-Wen Kuo
John N. Wright
389
58
0
01 Jun 2018
Multichannel Sparse Blind Deconvolution on the Sphere
Yanjun Li
Y. Bresler
271
16
0
26 May 2018
Convolutional Phase Retrieval via Gradient Descent
Qing Qu
Yuqian Zhang
Yonina C. Eldar
John N. Wright
299
32
0
03 Dec 2017
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