Cover Image

Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yan, Hao, Levin, Keith
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Estimating Multiple Weighted Networks with Node-Sparse Differences and Shared Low-Rank Structure
by: Yan, Hao, et al.
Published: (2025)

On the Effect of Misspecifying the Embedding Dimension in Low-rank Network Models
by: Taing, Roddy, et al.
Published: (2026)

Higher-Order Entrywise Eigenvectors Analysis of Low-Rank Random Matrices: Bias Correction, Edgeworth Expansion, and Bootstrap
by: Xie, Fangzheng, et al.
Published: (2024)

Bias-Corrected Joint Spectral Embedding for Multilayer Networks with Invariant Subspace: Entrywise Eigenvector Perturbation and Inference
by: Xie, Fangzheng
Published: (2024)

Improved dependence on coherence in eigenvector and eigenvalue estimation error bounds
by: Yan, Hao, et al.
Published: (2025)

Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel
by: Chai, Jinhang, et al.
Published: (2024)

Entrywise error bounds for low-rank approximations of kernel matrices
by: Modell, Alexander
Published: (2024)

Eigenvector fluctuations and limit results for random graphs with infinite rank kernels
by: Tang, Minh, et al.
Published: (2025)

Entrywise dynamics and universality of general first order methods
by: Han, Qiyang
Published: (2024)

Low-rank Matrix Estimation with Inhomogeneous Noise
by: Guionnet, Alice, et al.
Published: (2022)

Adjacency Spectral Embeddings of Correlation Networks
by: Levin, Keith
Published: (2026)

Low-rank matrix completion and denoising under Poisson noise
by: McRae, Andrew D., et al.
Published: (2019)

Entrywise Error Bounds for Spectral Ranking with Semi-Random Adversaries
by: Lee, Dongmin, et al.
Published: (2026)

Asymptotic limits of spiked eigenvalues and eigenvectors of signal-plus-noise matrices with weak signals and heteroskedastic noise
by: Liu, Xiaoyu, et al.
Published: (2023)

Entrywise Inference for Missing Panel Data: A Simple and Instance-Optimal Approach
by: Yan, Yuling, et al.
Published: (2024)

Minimax Analysis of Estimation Problems in Coherent Imaging
by: Xing, Hao, et al.
Published: (2025)

The Asymptotic Properties of the Extreme Eigenvectors of High-dimensional Generalized Spiked Covariance Model
by: Pu, Zhangni, et al.
Published: (2024)

Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA
by: Kumar, Syamantak, et al.
Published: (2025)

Statistical Inference for Linear Functions of Eigenvectors with Small Eigengaps
by: Agterberg, Joshua
Published: (2023)

Testing for correlation between network structure and high-dimensional node covariates
by: Fuchs-Kreiss, Alexander, et al.
Published: (2025)

Eigenvector overlaps in large sample covariance matrices and nonlinear shrinkage estimators
by: Lin, Zeqin, et al.
Published: (2024)

Entrywise application of non-linear functions on orthogonally invariant matrices
by: Speicher, Roland, et al.
Published: (2024)

Signal detection from spiked noise via asymmetrization
by: Bao, Zhigang, et al.
Published: (2025)

Estimation of projection operators with Gaussian noise
by: Castelli, Luca
Published: (2026)

Signal-to-noise ratio aware minimaxity and higher-order asymptotics
by: Guo, Yilin, et al.
Published: (2022)

Signal-to-noise ratio aware minimax analysis of sparse linear regression
by: Ghosh, Shubhangi, et al.
Published: (2025)

Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices
by: Fan, Jianqing, et al.
Published: (2025)

Equivalence of Approximate Message Passing and Low-Degree Polynomials in Rank-One Matrix Estimation
by: Montanari, Andrea, et al.
Published: (2022)

How weak are weak factors? Uniform inference for signal strength in signal plus noise models
by: Bykhovskaya, Anna, et al.
Published: (2025)

Entry-Wise Eigenvector Analysis and Improved Rates for Topic Modeling on Short Documents
by: Ke, Zheng Tracy, et al.
Published: (2024)

Limit Results for Estimation of Connectivity Matrix in Multi-layer Stochastic Block Models
by: Su, Wenqing, et al.
Published: (2024)

Iterative Collaborative Filtering for Sparse Matrix Estimation
by: Borgs, Christian, et al.
Published: (2017)

Assumption-free stability for ranking problems
by: Liang, Ruiting, et al.
Published: (2025)

Is speckle noise more challenging to mitigate than additive noise?
by: Malekian, Reihaneh, et al.
Published: (2024)

Asymptotic distribution of spiked eigenvalues in the large signal-plus-noise models
by: Lin, Zeqin, et al.
Published: (2024)

Factor Strength Estimation in Vector and Matrix Time Series Factor Models
by: Chen, Weilin, et al.
Published: (2024)

Minimax Optimal Probability Matrix Estimation For Graphon With Spectral Decay
by: Chen, Yuchen, et al.
Published: (2024)

Factor Models of Matrix-Valued Time Series: Nonstationarity and Cointegration
by: Li, Degui, et al.
Published: (2025)

Estimating Signal-to-Noise Ratios for Multivariate High-dimensional Linear Models
by: Hu, Xiaohan, et al.
Published: (2025)

Maximum Likelihood Estimation of the Parameters of Matrix Variate Symmetric Laplace Distribution
by: Yadav, Pooja, et al.
Published: (2025)