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Optimal Sparse Singular Value Decomposition for High-dimensional
  High-order Data
v1v2 (latest)

Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data

6 September 2018
Anru R. Zhang
Rungang Han
ArXiv (abs)PDFHTML

Papers citing "Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data"

22 / 22 papers shown
Title
Statistical Inference on High Dimensional Gaussian Graphical Regression
  Models
Statistical Inference on High Dimensional Gaussian Graphical Regression Models
Xuran Meng
Jingfei Zhang
Yi Li
63
1
0
03 Nov 2024
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
92
3
0
28 May 2024
Sharp minimax optimality of LASSO and SLOPE under double sparsity
  assumption
Sharp minimax optimality of LASSO and SLOPE under double sparsity assumption
Zhifan Li
Yanhang Zhang
J. Yin
63
4
0
18 Aug 2023
Multivariate Analysis for Multiple Network Data via Semi-Symmetric
  Tensor PCA
Multivariate Analysis for Multiple Network Data via Semi-Symmetric Tensor PCA
Michael Weylandt
George Michailidis
49
0
0
09 Feb 2022
Tensor Principal Component Analysis in High Dimensional CP Models
Tensor Principal Component Analysis in High Dimensional CP Models
Yuefeng Han
Cun-Hui Zhang
83
11
0
10 Aug 2021
Guaranteed Functional Tensor Singular Value Decomposition
Guaranteed Functional Tensor Singular Value Decomposition
Rungang Han
Pixu Shi
Anru R. Zhang
65
23
0
09 Aug 2021
Sparse Logistic Tensor Decomposition for Binary Data
Sparse Logistic Tensor Decomposition for Binary Data
Jianhao Zhang
Yoonkyung Lee
38
0
0
27 Jun 2021
Learning Good State and Action Representations via Tensor Decomposition
Learning Good State and Action Representations via Tensor Decomposition
Chengzhuo Ni
Yaqi Duan
M. Dahleh
Anru R. Zhang
Mengdi Wang
84
7
0
03 May 2021
Covariate-assisted Sparse Tensor Completion
Covariate-assisted Sparse Tensor Completion
Hilda S Ibriga
W. Sun
74
4
0
11 Mar 2021
Inference for Low-rank Tensors -- No Need to Debias
Inference for Low-rank Tensors -- No Need to Debias
Dong Xia
Anru R. Zhang
Yuchen Zhou
99
18
0
29 Dec 2020
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
122
39
0
18 Dec 2020
Several Approximation Algorithms for Sparse Best Rank-1 Approximation to
  Higher-Order Tensors
Several Approximation Algorithms for Sparse Best Rank-1 Approximation to Higher-Order Tensors
Xianpeng Mao
Yuning Yang
73
4
0
05 Dec 2020
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
Yuchen Zhou
Anru R. Zhang
Lili Zheng
Yazhen Wang
105
22
0
06 Oct 2020
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration
Yuetian Luo
Garvesh Raskutti
M. Yuan
Anru R. Zhang
81
12
0
06 Aug 2020
Tensor Clustering with Planted Structures: Statistical Optimality and
  Computational Limits
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits
Yuetian Luo
Anru R. Zhang
134
46
0
21 May 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
119
70
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
84
68
0
10 Feb 2020
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance
  Sketching
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching
Anru R. Zhang
Yuetian Luo
Garvesh Raskutti
M. Yuan
221
45
0
09 Nov 2019
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and
  Statistical Inference
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference
T. Tony Cai
Anru R. Zhang
Yuchen Zhou
42
25
0
21 Sep 2019
Learning Feature Sparse Principal Components
Learning Feature Sparse Principal Components
Lai Tian
Feiping Nie
Xuelong Li
100
25
0
23 Apr 2019
Sparse Tensor Additive Regression
Sparse Tensor Additive Regression
Botao Hao
Boxiang Wang
Pengyuan Wang
Jingfei Zhang
Jian Yang
W. Sun
MedIm
62
27
0
31 Mar 2019
Heteroskedastic PCA: Algorithm, Optimality, and Applications
Heteroskedastic PCA: Algorithm, Optimality, and Applications
Anru R. Zhang
T. Tony Cai
Yihong Wu
197
72
0
19 Oct 2018
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