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Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor
  Factorization

Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization

16 January 2019
Xiao Fu
Shahana Ibrahim
Hoi-To Wai
Cheng Gao
Kejun Huang
ArXivPDFHTML

Papers citing "Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization"

6 / 6 papers shown
Title
Under-Counted Tensor Completion with Neural Incorporation of Attributes
Under-Counted Tensor Completion with Neural Incorporation of Attributes
Shahana Ibrahim
Xiao Fu
R. Hutchinson
Eugene Seo
38
1
0
05 Jun 2023
Cyclic Block Coordinate Descent With Variance Reduction for Composite
  Nonconvex Optimization
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization
Xu Cai
Chaobing Song
Stephen J. Wright
Jelena Diakonikolas
36
14
0
09 Dec 2022
An Accelerated Stochastic Gradient for Canonical Polyadic Decomposition
An Accelerated Stochastic Gradient for Canonical Polyadic Decomposition
Ioanna Siaminou
A. Liavas
17
4
0
28 Sep 2021
Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned
  Neural Models
Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models
S. Shrestha
Xiao Fu
Min-Fong Hong
26
47
0
01 May 2021
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
117
1,345
0
06 Jul 2016
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
93
737
0
19 Mar 2014
1