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Learning from Multiway Data: Simple and Efficient Tensor Regression

Learning from Multiway Data: Simple and Efficient Tensor Regression

8 July 2016
Rose Yu
Yan Liu
ArXivPDFHTML

Papers citing "Learning from Multiway Data: Simple and Efficient Tensor Regression"

12 / 12 papers shown
Title
Tensor Methods in High Dimensional Data Analysis: Opportunities and
  Challenges
Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
Arnab Auddy
Dong Xia
Ming Yuan
AI4CE
50
2
0
28 May 2024
Decomposable Sparse Tensor on Tensor Regression
Decomposable Sparse Tensor on Tensor Regression
Haiyi Mao
J. Dou
23
1
0
09 Dec 2022
Subquadratic Kronecker Regression with Applications to Tensor
  Decomposition
Subquadratic Kronecker Regression with Applications to Tensor Decomposition
Matthew Fahrbach
Thomas Fu
Mehrdad Ghadiri
40
15
0
11 Sep 2022
Tensor-on-Tensor Regression: Riemannian Optimization,
  Over-parameterization, Statistical-computational Gap, and Their Interplay
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay
Yuetian Luo
Anru R. Zhang
38
19
0
17 Jun 2022
Tensor Methods in Computer Vision and Deep Learning
Tensor Methods in Computer Vision and Deep Learning
Yannis Panagakis
Jean Kossaifi
Grigorios G. Chrysos
James Oldfield
M. Nicolaou
Anima Anandkumar
S. Zafeiriou
36
120
0
07 Jul 2021
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian
  Optimization
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization
Jian-Feng Cai
Jingyang Li
Dong Xia
54
30
0
16 Mar 2021
Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order
  Regression Models
Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models
Jiaqi Zhang
Beilun Wang
19
0
0
29 Nov 2019
Gradient-based Optimization for Regression in the Functional
  Tensor-Train Format
Gradient-based Optimization for Regression in the Functional Tensor-Train Format
Alex A. Gorodetsky
J. Jakeman
35
33
0
03 Jan 2018
Tensor Networks for Dimensionality Reduction and Large-Scale
  Optimizations. Part 2 Applications and Future Perspectives
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives
A. Cichocki
Anh-Huy Phan
Qibin Zhao
Namgil Lee
Ivan Oseledets
Masashi Sugiyama
Danilo P. Mandic
34
296
0
30 Aug 2017
Tensor Regression Networks
Tensor Regression Networks
Jean Kossaifi
Zachary Chase Lipton
Arinbjorn Kolbeinsson
Aran Khanna
Tommaso Furlanello
Anima Anandkumar
3DV
43
145
0
26 Jul 2017
Riemannian Tensor Completion with Side Information
Riemannian Tensor Completion with Side Information
Tengfei Zhou
Hui Qian
Zebang Shen
Congfu Xu
19
4
0
12 Nov 2016
STORE: Sparse Tensor Response Regression and Neuroimaging Analysis
STORE: Sparse Tensor Response Regression and Neuroimaging Analysis
W. Sun
Lexin Li
27
92
0
15 Sep 2016
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