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The Practicality of Stochastic Optimization in Imaging Inverse Problems

The Practicality of Stochastic Optimization in Imaging Inverse Problems

22 October 2019
Junqi Tang
K. Egiazarian
Mohammad Golbabaee
Mike Davies
ArXivPDFHTML

Papers citing "The Practicality of Stochastic Optimization in Imaging Inverse Problems"

6 / 6 papers shown
Title
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched
  Gradients
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched Gradients
Junqi Tang
16
2
0
14 Mar 2022
Equivariance Regularization for Image Reconstruction
Equivariance Regularization for Image Reconstruction
Junqi Tang
16
2
0
10 Feb 2022
Regularization by Denoising: Clarifications and New Interpretations
Regularization by Denoising: Clarifications and New Interpretations
E. T. Reehorst
Philip Schniter
54
211
0
06 Jun 2018
Katyusha X: Practical Momentum Method for Stochastic Sum-of-Nonconvex
  Optimization
Katyusha X: Practical Momentum Method for Stochastic Sum-of-Nonconvex Optimization
Zeyuan Allen-Zhu
ODL
42
52
0
12 Feb 2018
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
76
736
0
19 Mar 2014
Deconvolving Images with Unknown Boundaries Using the Alternating
  Direction Method of Multipliers
Deconvolving Images with Unknown Boundaries Using the Alternating Direction Method of Multipliers
Mariana S. C. Almeida
Mário A. T. Figueiredo
45
158
0
09 Oct 2012
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