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Adaptive ADMM with Spectral Penalty Parameter Selection

Adaptive ADMM with Spectral Penalty Parameter Selection

24 May 2016
Zheng Xu
Mário A. T. Figueiredo
Thomas A. Goldstein
    ODL
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Papers citing "Adaptive ADMM with Spectral Penalty Parameter Selection"

14 / 14 papers shown
Title
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Wenhao Li
Bo Jin
Mingyi Hong
Changhong Lu
Xiangfeng Wang
63
0
0
07 May 2025
A Simple Adaptive Unfolding Network for Hyperspectral Image
  Reconstruction
A Simple Adaptive Unfolding Network for Hyperspectral Image Reconstruction
Junyu Wang
Shijie Wang
Wenyu Liu
Zengqiang Zheng
Xinggang Wang
18
2
0
24 Jan 2023
DeepSplit: Scalable Verification of Deep Neural Networks via Operator
  Splitting
DeepSplit: Scalable Verification of Deep Neural Networks via Operator Splitting
Shaoru Chen
Eric Wong
Zico Kolter
Mahyar Fazlyab
52
15
0
16 Jun 2021
Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein
  Stepsize
Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize
Youngsuk Park
Sauptik Dhar
Stephen P. Boyd
Mohak Shah
16
26
0
15 Oct 2019
Recycled ADMM: Improving the Privacy and Accuracy of Distributed
  Algorithms
Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms
Xueru Zhang
Mohammad Mahdi Khalili
M. Liu
FedML
15
23
0
08 Oct 2019
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in
  Distributed Algorithms
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms
Xueru Zhang
Mohammad Mahdi Khalili
M. Liu
39
30
0
07 Oct 2018
Approximate message-passing for convex optimization with non-separable
  penalties
Approximate message-passing for convex optimization with non-separable penalties
Andre Manoel
Florent Krzakala
Gaël Varoquaux
Bertrand Thirion
Lenka Zdeborová
27
14
0
17 Sep 2018
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms
Xueru Zhang
Mohammad Mahdi Khalili
M. Liu
FedML
13
90
0
06 Jun 2018
Robust Kronecker Component Analysis
Robust Kronecker Component Analysis
Mehdi Bahri
Yannis Panagakis
Stefanos Zafeiriou
22
29
0
18 Jan 2018
Non-stationary Douglas-Rachford and alternating direction method of
  multipliers: adaptive stepsizes and convergence
Non-stationary Douglas-Rachford and alternating direction method of multipliers: adaptive stepsizes and convergence
D. Lorenz
Quoc Tran-Dinh
13
26
0
11 Jan 2018
Data Multiplexing in Radio Interferometric Calibration
Data Multiplexing in Radio Interferometric Calibration
S. Yatawatta
F. Diblen
H. Spreeuw
L. Koopmans
27
10
0
28 Nov 2017
Non-negative Factorization of the Occurrence Tensor from Financial
  Contracts
Non-negative Factorization of the Occurrence Tensor from Financial Contracts
Zheng Xu
Furong Huang
L. Raschid
Tom Goldstein
14
4
0
10 Dec 2016
Alternating Direction Graph Matching
Alternating Direction Graph Matching
Đ.Khuê Lê-Huu
Nikos Paragios
30
50
0
22 Nov 2016
Image Restoration with Locally Selected Class-Adapted Models
Image Restoration with Locally Selected Class-Adapted Models
Afonso M. Teodoro
J. Bioucas-Dias
Mário A. T. Figueiredo
DiffM
27
12
0
23 May 2016
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