Publications associées à RANDOMIZED JOINT DIAGONALIZATION OF SYMMETRIC

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Global eigenvalue distribution of matrices defined by the skew-shift

Marius Christopher Lemm

We consider large Hermitian matrices whose entries are defined by evaluating the exponential function along orbits of the skew-shift

\binom{j}{2} \omega+jy+x \mod 1

for irrational

\omega

. We prove that the eigenvalue distribution of these matrices conv ...

2019

RANDOMIZED JOINT DIAGONALIZATION OF SYMMETRIC

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Spectral Estimators for High-Dimensional Matrix Inference

Random matrix methods for high-dimensional machine learning models

Optimal denoising of rotationally invariant rectangular matrices

Statistical limits of dictionary learning: Random matrix theory and the spectral replica method

Robust Differentiable SVD

On Randomized Trace Estimates for Indefinite Matrices with an Application to Determinants

Certified And Fast Computations With Shallow Covariance Kernels

hm-toolbox: MATLAB SOFTWARE FOR HODLR AND HSS MATRICES

Global eigenvalue distribution of matrices defined by the skew-shift

hm-toolbox: Matlab software for HODLR and HSS matrices

Spectral Estimators for High-Dimensional Matrix Inference

Certified And Fast Computations With Shallow Covariance Kernels

Optimal denoising of rotationally invariant rectangular matrices

Global eigenvalue distribution of matrices defined by the skew-shift

Statistical limits of dictionary learning: Random matrix theory and the spectral replica method

On Randomized Trace Estimates for Indefinite Matrices with an Application to Determinants

Random matrix methods for high-dimensional machine learning models

hm-toolbox: MATLAB SOFTWARE FOR HODLR AND HSS MATRICES

Robust Differentiable SVD

hm-toolbox: Matlab software for HODLR and HSS matrices