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Recovering Simultaneously Structured Data via Non-Convex Iteratively
  Reweighted Least Squares
v1v2 (latest)

Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares

8 June 2023
C. Kümmerle
J. Maly
ArXiv (abs)PDFHTMLGithub (1★)

Papers citing "Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares"

17 / 17 papers shown
Title
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative
  Reweighted Least Squares Minimization
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization
Stamatios Lefkimmiatis
Iaroslav Koshelev
48
8
0
20 Apr 2023
HARA: A Hierarchical Approach for Robust Rotation Averaging
HARA: A Hierarchical Approach for Robust Rotation Averaging
S. H. Lee
Javier Civera
54
30
0
16 Nov 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
314
720
0
31 Jan 2021
Globally-convergent Iteratively Reweighted Least Squares for Robust
  Regression Problems
Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems
B. Mukhoty
G. Gopakumar
Prateek Jain
Purushottam Kar
58
30
0
25 Jun 2020
Linformer: Self-Attention with Linear Complexity
Linformer: Self-Attention with Linear Complexity
Sinong Wang
Belinda Z. Li
Madian Khabsa
Han Fang
Hao Ma
216
1,706
0
08 Jun 2020
Manifold Gradient Descent Solves Multi-Channel Sparse Blind
  Deconvolution Provably and Efficiently
Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently
Laixi Shi
Yuejie Chi
73
26
0
25 Nov 2019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine
  Learning
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning
S. Ravishankar
J. C. Ye
Jeffrey A. Fessler
84
244
0
04 Apr 2019
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
235
3,473
0
09 Mar 2018
Recovery of simultaneous low rank and two-way sparse coefficient
  matrices, a nonconvex approach
Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach
Ming Yu
Varun Gupta
Mladen Kolar
67
21
0
20 Feb 2018
Coordinating Filters for Faster Deep Neural Networks
Coordinating Filters for Faster Deep Neural Networks
W. Wen
Cong Xu
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
43
138
0
28 Mar 2017
Structured signal recovery from quadratic measurements: Breaking sample
  complexity barriers via nonconvex optimization
Structured signal recovery from quadratic measurements: Breaking sample complexity barriers via nonconvex optimization
Mahdi Soltanolkotabi
66
102
0
20 Feb 2017
Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via
  Thresholded Wirtinger Flow
Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow
T. Tony Cai
Xiaodong Li
Zongming Ma
110
233
0
10 Jun 2015
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery
Cun Mu
Bo Huang
John N. Wright
D. Goldfarb
172
308
0
22 Jul 2013
Robust Spectral Compressed Sensing via Structured Matrix Completion
Robust Spectral Compressed Sensing via Structured Matrix Completion
Yuxin Chen
Yuejie Chi
98
269
0
30 Apr 2013
Low-rank Matrix Completion using Alternating Minimization
Low-rank Matrix Completion using Alternating Minimization
Prateek Jain
Praneeth Netrapalli
Sujay Sanghavi
224
1,066
0
03 Dec 2012
The Convex Geometry of Linear Inverse Problems
The Convex Geometry of Linear Inverse Problems
V. Chandrasekaran
Benjamin Recht
P. Parrilo
A. Willsky
208
1,341
0
03 Dec 2010
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear
  Norm Minimization
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht
Maryam Fazel
P. Parrilo
416
3,768
0
28 Jun 2007
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