Matrices with Gaussian Noise: Optimal Estimates for Singular Subspace Perturbation

Asymptotic Properties of Random Restricted Partitions

Limiting empirical spectral distribution for the non-backtracking matrix of an Erdős-Rényi random graph

Optimal Subspace Perturbation Bounds under Gaussian Noise

Statistical inference for principal components of spiked covariance matrices

Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections

Singular vector and singular subspace distribution for the matrix denoising model

Statistical Properties of Eigenvalues of Laplace–Beltrami Operators

A Generalized Hardy-ramanujan Formula for the Number of Restricted Integer Partitions

New Methods for Handling Singular Sample Covariance Matrices

On A Class of Nonlocal SIR Models

Symmetric radial decreasing rearrangement can increase the fractional Gagliardo norm in domains

Random Perturbation of Low Rank Matrices: Improving Classical Bounds

Eigenvectors of Random Matrices: A Survey

Random Weighted Projections, Random Quadratic Forms and Random Eigenvectors

Sparse Random Graphs: Eigenvalues and Eigenvectors

An Innovative Approach for Analysing Rank Deficient Covariance Matrices

Random Covariance Matrices: Universality of Local Statistics of Eigenvalues Up to the Edge

Random Perturbation of Low Rank Matrices: Improving Classical Bounds

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Eigenvectors of Random Matrices: A Survey

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Random Weighted Projections, Random Quadratic Forms and Random Eigenvectors

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Sparse Random Graphs: Eigenvalues and Eigenvectors

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An Innovative Approach for Analysing Rank Deficient Covariance Matrices

Conference paper

Random Covariance Matrices: Universality of Local Statistics of Eigenvalues Up to the Edge

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