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Adaptive ADMM with Spectral Penalty Parameter Selection
v1v2v3v4v5 (latest)

Adaptive ADMM with Spectral Penalty Parameter Selection

24 May 2016
Zheng Xu
Mário A. T. Figueiredo
Thomas A. Goldstein
    ODL
ArXiv (abs)PDFHTML

Papers citing "Adaptive ADMM with Spectral Penalty Parameter Selection"

17 / 17 papers shown
Title
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
123
15
0
16 Jun 2021
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to
  Inverse Imaging Problems
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems
Kaixuan Wei
Angelica Aviles-Rivero
Jingwei Liang
Ying Fu
Hua Huang
Carola-Bibiane Schönlieb
74
35
0
18 Nov 2020
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
41
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
72
24
0
08 Oct 2019
Catching Cheats: Detecting Strategic Manipulation in Distributed
  Optimisation of Electric Vehicle Aggregators
Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators
Alvaro Perez-Diaz
E. Gerding
F. McGroarty
70
4
0
12 Oct 2018
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
91
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
79
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
111
91
0
06 Jun 2018
Efficient Solvers for Sparse Subspace Clustering
Efficient Solvers for Sparse Subspace Clustering
Farhad Pourkamali Anaraki
James Folberth
Stephen Becker
59
33
0
17 Apr 2018
Robust Kronecker Component Analysis
Robust Kronecker Component Analysis
Mehdi Bahri
Yannis Panagakis
Stefanos Zafeiriou
83
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
64
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
55
10
0
28 Nov 2017
Adaptive ADMM in Distributed Radio Interferometric Calibration
Adaptive ADMM in Distributed Radio Interferometric Calibration
S. Yatawatta
F. Diblen
H. Spreeuw
21
4
0
16 Oct 2017
Robust Decentralized Learning Using ADMM with Unreliable Agents
Robust Decentralized Learning Using ADMM with Unreliable Agents
Qunwei Li
B. Kailkhura
R. Goldhahn
Priyadip Ray
P. Varshney
79
18
0
14 Oct 2017
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation
Zheng Xu
Mário A. T. Figueiredo
Xiaoming Yuan
Christoph Studer
Tom Goldstein
49
42
0
10 Apr 2017
An Empirical Study of ADMM for Nonconvex Problems
An Empirical Study of ADMM for Nonconvex Problems
Zheng Xu
Soham De
Mário A. T. Figueiredo
Christoph Studer
Tom Goldstein
22
33
0
10 Dec 2016
Alternating Direction Graph Matching
Alternating Direction Graph Matching
Đ.Khuê Lê-Huu
Nikos Paragios
98
50
0
22 Nov 2016
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