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1709.09565
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Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank
27 September 2017
Emmanuel Abbe
Jianqing Fan
Kaizheng Wang
Yiqiao Zhong
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Papers citing
"Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank"
38 / 38 papers shown
Title
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Leave-One-Out Analysis for Nonconvex Robust Matrix Completion with General Thresholding Functions
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Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
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Differentially private exact recovery for stochastic block models
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Valid Conformal Prediction for Dynamic GNNs
Ed Davis
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12 Feb 2024
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks
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ReSync: Riemannian Subgradient-based Robust Rotation Synchronization
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24 May 2023
A Novel and Optimal Spectral Method for Permutation Synchronization
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An Zhang
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21 Mar 2023
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA
Yuchen Zhou
Yuxin Chen
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10 Mar 2023
Statistical Analysis of Karcher Means for Random Restricted PSD Matrices
Hengchao Chen
Xiang Li
Qiang Sun
10
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24 Feb 2023
Approximate message passing from random initialization with applications to
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\mathbb{Z}_{2}
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synchronization
Gen Li
Wei Fan
Yuting Wei
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07 Feb 2023
Fundamental Limits of Spectral Clustering in Stochastic Block Models
An Zhang
36
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23 Jan 2023
Optimal Algorithms for Latent Bandits with Cluster Structure
S. Pal
A. Suggala
Karthikeyan Shanmugam
Prateek Jain
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17 Jan 2023
A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise Consistency
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Xiaoou Li
19
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17 Nov 2022
The Power of Two Matrices in Spectral Algorithms
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Julia Gaudio
Elchanan Mossel
Colin Sandon
26
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12 Oct 2022
Exact Minimax Optimality of Spectral Methods in Phase Synchronization and Orthogonal Group Synchronization
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37
5
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Online Low Rank Matrix Completion
Prateek Jain
S. Pal
42
9
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08 Sep 2022
Optimal tuning-free convex relaxation for noisy matrix completion
Yuepeng Yang
Cong Ma
28
8
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12 Jul 2022
Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power Method
Guillaume Braun
Hemant Tyagi
23
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24 May 2022
Semi-Supervised Clustering of Sparse Graphs: Crossing the Information-Theoretic Threshold
Jun Sheng
Thomas Strohmer
25
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24 May 2022
Confident Clustering via PCA Compression Ratio and Its Application to Single-cell RNA-seq Analysis
Yingcong Li
Chandrama Mukherjee
Jiapeng Zhang
19
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19 May 2022
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms
Joshua Agterberg
Jeremias Sulam
19
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Multiway Spherical Clustering via Degree-Corrected Tensor Block Models
Jiaxin Hu
Miaoyan Wang
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19 Jan 2022
Estimating Graph Dimension with Cross-validated Eigenvalues
Fan Chen
S. Roch
Karl Rohe
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06 Aug 2021
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
Krishnakumar Balasubramanian
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The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases
Francesca Tang
Yang Feng
Hamza Chiheb
Jianqing Fan
11
13
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06 Jan 2021
Power Iteration for Tensor PCA
Jiaoyang Huang
Daniel Zhengyu Huang
Qing Yang
Guang Cheng
24
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26 Dec 2020
Spectral clustering via adaptive layer aggregation for multi-layer networks
Sihan Huang
Haolei Weng
Yang Feng
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Fast Network Community Detection with Profile-Pseudo Likelihood Methods
Jiangzhou Wang
Jingfei Zhang
Binghui Liu
Ji Zhu
Jianhua Guo
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Near-Optimal Performance Bounds for Orthogonal and Permutation Group Synchronization via Spectral Methods
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A Performance Guarantee for Spectral Clustering
M. Boedihardjo
Shaofeng Deng
Thomas Strohmer
14
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On Two Distinct Sources of Nonidentifiability in Latent Position Random Graph Models
Joshua Agterberg
M. Tang
Carey E. Priebe
CML
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31 Mar 2020
Spectral Clustering Revisited: Information Hidden in the Fiedler Vector
Adela DePavia
Stefan Steinerberger
16
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22 Mar 2020
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition
Bing-Yi Jing
Ting Li
Zhongyuan Lyu
Dong Xia
37
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10 Feb 2020
Robust high dimensional factor models with applications to statistical machine learning
Jianqing Fan
Kaizheng Wang
Yiqiao Zhong
Ziwei Zhu
29
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Signal-plus-noise matrix models: eigenvector deviations and fluctuations
Joshua Cape
M. Tang
Carey E. Priebe
26
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Estimating Mixed Memberships with Sharp Eigenvector Deviations
Xueyu Mao
Purnamrita Sarkar
Deepayan Chakrabarti
14
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01 Sep 2017
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