Ke Wang

IEEE Trans. Inf. Theory, 2024

2023

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

[BibT_eX]

[DOI]

Philip Matchett Wood

Comb. Probab. Comput., November, 2023

Optimal Subspace Perturbation Bounds under Gaussian Noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

2019

New Methods for Handling Singular Sample Covariance Matrices.

[BibT_eX]

[DOI]

Gabriel H. Tucci

IEEE Trans. Inf. Theory, 2019

2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Random perturbation and matrix sparsification and completion.

[BibT_eX]

[DOI]

CoRR, 2018

2016

Eigenvectors of random matrices: A survey.

[BibT_eX]

[DOI]

J. Comb. Theory, Ser. A, 2016

2015

Random weighted projections, random quadratic forms and random eigenvectors.

[BibT_eX]

[DOI]

Van H. Vu

Random Struct. Algorithms, 2015

2013

Sparse random graphs: Eigenvalues and eigenvectors.

[BibT_eX]

[DOI]

Linh V. Tran

Van H. Vu

Random Struct. Algorithms, 2013

2012

An innovative approach for analysing rank deficient covariance matrices.

[BibT_eX]

[DOI]

Gabriel H. Tucci