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High dimensional deformed rectangular matrices with applications in
  matrix denoising
v1v2v3 (latest)

High dimensional deformed rectangular matrices with applications in matrix denoising

22 February 2017
Xiucai Ding
ArXiv (abs)PDFHTML

Papers citing "High dimensional deformed rectangular matrices with applications in matrix denoising"

22 / 22 papers shown
Title
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
Xiucai Ding
Rong Ma
88
2
0
20 May 2024
Uniform error bound for PCA matrix denoising
Uniform error bound for PCA matrix denoising
Xin T. Tong
Wanjie Wang
Yuguan Wang
57
2
0
22 Jun 2023
Tracy-Widom distribution for the edge eigenvalues of elliptical model
Tracy-Widom distribution for the edge eigenvalues of elliptical model
Xiucai Ding
Jiahui Xie
43
0
0
16 Apr 2023
Detection problems in the spiked matrix models
Detection problems in the spiked matrix models
Ji Hyung Jung
Hye Won Chung
J. Lee
115
2
0
12 Jan 2023
Inference for Heteroskedastic PCA with Missing Data
Inference for Heteroskedastic PCA with Missing Data
Yuling Yan
Yuxin Chen
Jianqing Fan
122
19
0
26 Jul 2021
Entrywise Estimation of Singular Vectors of Low-Rank Matrices with
  Heteroskedasticity and Dependence
Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence
Joshua Agterberg
Zachary Lubberts
Carey Priebe
99
21
0
27 May 2021
Spiked eigenvalues of noncentral Fisher matrix with applications
Spiked eigenvalues of noncentral Fisher matrix with applications
Xiaozhuo Zhang
Zhiqiang Hou
Z. Bai
Jiang Hu
23
5
0
10 Apr 2021
Empirical Bayes PCA in high dimensions
Empirical Bayes PCA in high dimensions
Xinyi Zhong
Chang Su
Z. Fan
81
19
0
21 Dec 2020
Eigenvector distribution in the critical regime of BBP transition
Eigenvector distribution in the critical regime of BBP transition
Z. Bao
Dong Wang
81
14
0
28 Sep 2020
Tracy-Widom law for the extreme eigenvalues of large signal-plus-noise
  matrices
Tracy-Widom law for the extreme eigenvalues of large signal-plus-noise matrices
Zhixiang Zhang
G. Pan
41
3
0
25 Sep 2020
Edge statistics of large dimensional deformed rectangular matrices
Edge statistics of large dimensional deformed rectangular matrices
Xiucai Ding
Fan Yang
61
9
0
01 Sep 2020
Statistical inference for principal components of spiked covariance
  matrices
Statistical inference for principal components of spiked covariance matrices
Z. Bao
Xiucai Ding
Jingming Wang
Ke Wang
82
50
0
27 Aug 2020
Tracy-Widom distribution for heterogeneous Gram matrices with
  applications in signal detection
Tracy-Widom distribution for heterogeneous Gram matrices with applications in signal detection
Xiucai Ding
Fan Yang
48
15
0
10 Aug 2020
How to reduce dimension with PCA and random projections?
How to reduce dimension with PCA and random projections?
Fan Yang
Sifan Liu
Yan Sun
David P. Woodruff
63
28
0
01 May 2020
Optimality of Spectral Clustering in the Gaussian Mixture Model
Optimality of Spectral Clustering in the Gaussian Mixture Model
Matthias Löffler
A. Zhang
Harrison H. Zhou
122
86
0
01 Nov 2019
On the spectral property of kernel-based sensor fusion algorithms of
  high dimensional data
On the spectral property of kernel-based sensor fusion algorithms of high dimensional data
Xiucai Ding
Hau‐Tieng Wu
34
9
0
25 Sep 2019
Principal components of spiked covariance matrices in the supercritical
  regime
Principal components of spiked covariance matrices in the supercritical regime
Z. Bao
Xiucai Ding
Jingming Wang
Ke Wang
91
4
0
29 Jul 2019
Spiked separable covariance matrices and principal components
Spiked separable covariance matrices and principal components
Xiucai Ding
Fan Yang
85
57
0
29 May 2019
Normal Approximation and Confidence Region of Singular Subspaces
Normal Approximation and Confidence Region of Singular Subspaces
Dong Xia
49
8
0
02 Jan 2019
Modified Multidimensional Scaling and High Dimensional Clustering
Xiucai Ding
Qiang Sun
57
4
0
24 Oct 2018
Adapting to Unknown Noise Distribution in Matrix Denoising
Adapting to Unknown Noise Distribution in Matrix Denoising
Andrea Montanari
Feng Ruan
Jun Yan
100
13
0
06 Oct 2018
Singular vector and singular subspace distribution for the matrix
  denoising model
Singular vector and singular subspace distribution for the matrix denoising model
Z. Bao
Xiucai Ding
Ke Wang
104
51
0
27 Sep 2018
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