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Tensor Methods in High Dimensional Data Analysis: Opportunities and
  Challenges

Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges

28 May 2024
Arnab Auddy
Dong Xia
Ming Yuan
    AI4CE
ArXivPDFHTML

Papers citing "Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges"

20 / 20 papers shown
Title
Heteroskedastic Tensor Clustering
Heteroskedastic Tensor Clustering
Yuchen Zhou
Yuxin Chen
27
4
0
04 Nov 2023
Latent Space Model for Higher-order Networks and Generalized Tensor
  Decomposition
Latent Space Model for Higher-order Networks and Generalized Tensor Decomposition
Zhongyuan Lyu
Dong Xia
Yuan Zhang
53
23
0
30 Jun 2021
High-Dimensional Low-Rank Tensor Autoregressive Time Series Modeling
High-Dimensional Low-Rank Tensor Autoregressive Time Series Modeling
Di Wang
Yao Zheng
Guodong Li
AI4TS
50
35
0
12 Jan 2021
Exact Clustering in Tensor Block Model: Statistical Optimality and
  Computational Limit
Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit
Rungang Han
Yuetian Luo
Miaoyan Wang
Anru R. Zhang
77
39
0
18 Dec 2020
Spectral Learning on Matrices and Tensors
Spectral Learning on Matrices and Tensors
Majid Janzamin
Rong Ge
Jean Kossaifi
Anima Anandkumar
48
41
0
16 Apr 2020
An Optimal Statistical and Computational Framework for Generalized
  Tensor Estimation
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation
Rungang Han
Rebecca Willett
Anru R. Zhang
79
66
0
26 Feb 2020
Community Detection on Mixture Multi-layer Networks via Regularized
  Tensor Decomposition
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition
Bing-Yi Jing
Ting Li
Zhongyuan Lyu
Dong Xia
55
66
0
10 Feb 2020
Multiway clustering via tensor block models
Multiway clustering via tensor block models
Miaoyan Wang
Yuchen Zeng
33
42
0
10 Jun 2019
Factor Models for High-Dimensional Tensor Time Series
Factor Models for High-Dimensional Tensor Time Series
Rong Chen
Dan Yang
Cun-Hui Zhang
AI4TS
67
92
0
18 May 2019
Optimal Sparse Singular Value Decomposition for High-dimensional
  High-order Data
Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data
Anru R. Zhang
Rungang Han
93
58
0
06 Sep 2018
On Polynomial Time Methods for Exact Low Rank Tensor Completion
On Polynomial Time Methods for Exact Low Rank Tensor Completion
Dong Xia
M. Yuan
157
76
0
22 Feb 2017
Spectral algorithms for tensor completion
Spectral algorithms for tensor completion
Andrea Montanari
Nike Sun
134
85
0
23 Dec 2016
Tensor principal component analysis via sum-of-squares proofs
Tensor principal component analysis via sum-of-squares proofs
Samuel B. Hopkins
Jonathan Shi
David Steurer
97
164
0
12 Jul 2015
A statistical model for tensor PCA
A statistical model for tensor PCA
Andrea Montanari
E. Richard
65
262
0
04 Nov 2014
Provable Tensor Factorization with Missing Data
Provable Tensor Factorization with Missing Data
Prateek Jain
Sewoong Oh
171
195
0
11 Jun 2014
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-$1$
  Updates
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-111 Updates
Anima Anandkumar
Rong Ge
Majid Janzamin
120
131
0
21 Feb 2014
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery
Cun Mu
Bo Huang
John N. Wright
D. Goldfarb
172
308
0
22 Jul 2013
Convex Tensor Decomposition via Structured Schatten Norm Regularization
Convex Tensor Decomposition via Structured Schatten Norm Regularization
Ryota Tomioka
Taiji Suzuki
59
152
0
26 Mar 2013
Blind Signal Separation in the Presence of Gaussian Noise
Blind Signal Separation in the Presence of Gaussian Noise
M. Belkin
Luis Rademacher
James R. Voss
85
25
0
07 Nov 2012
Tensor decompositions for learning latent variable models
Tensor decompositions for learning latent variable models
Anima Anandkumar
Rong Ge
Daniel J. Hsu
Sham Kakade
Matus Telgarsky
427
1,145
0
29 Oct 2012
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