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Parallel Algorithms for Constrained Tensor Factorization via the
  Alternating Direction Method of Multipliers
v1v2 (latest)

Parallel Algorithms for Constrained Tensor Factorization via the Alternating Direction Method of Multipliers

IEEE Transactions on Signal Processing (IEEE TSP), 2014
8 September 2014
A. Liavas
N. Sidiropoulos
ArXiv (abs)PDFHTML

Papers citing "Parallel Algorithms for Constrained Tensor Factorization via the Alternating Direction Method of Multipliers"

19 / 19 papers shown
Quantization Aware Factorization for Deep Neural Network Compression
Quantization Aware Factorization for Deep Neural Network CompressionJournal of Artificial Intelligence Research (JAIR), 2023
Daria Cherniuk
Stanislav Abukhovich
Anh-Huy Phan
Ivan Oseledets
A. Cichocki
Julia Gusak
MQ
322
7
0
08 Aug 2023
Relaxing the Additivity Constraints in Decentralized No-Regret
  High-Dimensional Bayesian Optimization
Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian OptimizationInternational Conference on Learning Representations (ICLR), 2023
Anthony Bardou
Patrick Thiran
Thomas Begin
438
10
0
31 May 2023
Alternating minimization algorithms for graph regularized tensor
  completion
Alternating minimization algorithms for graph regularized tensor completion
Yu Guan
Shuyu Dong
Bin Gao
P.-A. Absil
François Glineur
258
6
0
28 Aug 2020
A Flexible Optimization Framework for Regularized Matrix-Tensor
  Factorizations with Linear Couplings
A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear CouplingsIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2020
Carla Schenker
Jérémy E. Cohen
E. Acar
171
26
0
19 Jul 2020
Accelerating ADMM for Efficient Simulation and Optimization
Accelerating ADMM for Efficient Simulation and OptimizationACM Transactions on Graphics (TOG), 2019
Juyong Zhang
Yue Peng
W. Ouyang
Bailin Deng
207
63
0
01 Sep 2019
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor
  Factorization
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization
Xiao Fu
Shahana Ibrahim
Hoi-To Wai
Cheng Gao
Kejun Huang
525
42
0
16 Jan 2019
Sparse Nonnegative CANDECOMP/PARAFAC Decomposition in Block Coordinate
  Descent Framework: A Comparison Study
Sparse Nonnegative CANDECOMP/PARAFAC Decomposition in Block Coordinate Descent Framework: A Comparison Study
Deqing Wang
Fengyu Cong
T. Ristaniemi
130
4
0
27 Dec 2018
Coupled Graphs and Tensor Factorization for Recommender Systems and
  Community Detection
Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection
V. Ioannidis
Ahmed S. Zamzam
G. Giannakis
N. Sidiropoulos
304
60
0
22 Sep 2018
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous
  Information Networks
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks
Lichao Sun
Lifang He
Zhipeng Huang
Bokai Cao
Congying Xia
Xiaokai Wei
Philip S. Yu
GNN
153
35
0
11 Sep 2018
Broad Learning for Healthcare
Broad Learning for Healthcare
Bokai Cao
130
0
0
23 Mar 2018
The Application of Preconditioned Alternating Direction Method of
  Multipliers in Depth from Focal Stack
The Application of Preconditioned Alternating Direction Method of Multipliers in Depth from Focal Stack
Hossein Javidnia
Peter Corcoran
291
9
0
21 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
208
4
0
10 Dec 2016
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
188
35
0
10 Dec 2016
Simple and Efficient Parallelization for Probabilistic Temporal Tensor
  Factorization
Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization
Guangxi Li
Zenglin Xu
Linnan Wang
Jinmian Ye
Irwin King
Michael Lyu
281
8
0
11 Nov 2016
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine LearningIEEE Transactions on Signal Processing (IEEE TSP), 2016
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
416
1,539
0
06 Jul 2016
Stochastic Variance-Reduced ADMM
Stochastic Variance-Reduced ADMM
Shuai Zheng
James T. Kwok
360
64
0
24 Apr 2016
Convex Optimization For Non-Convex Problems via Column Generation
Convex Optimization For Non-Convex Problems via Column Generation
Julian Yarkony
Kamalika Chaudhuri
203
0
0
14 Feb 2016
Tensor Analysis and Fusion of Multimodal Brain Images
Tensor Analysis and Fusion of Multimodal Brain Images
E. Karahan
Pedro A. Rojas-Lopez
M. Bringas-Vega
P. Valdes-Hernandez
P. Valdés-Sosa
247
86
0
19 Jun 2015
A Flexible and Efficient Algorithmic Framework for Constrained Matrix
  and Tensor Factorization
A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor FactorizationIEEE Transactions on Signal Processing (IEEE TSP), 2015
Kejun Huang
N. Sidiropoulos
A. Liavas
324
185
0
13 Jun 2015
1
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