Publications associées à Spectral Estimators for High-Dimensional Matrix Inference

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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

Spectral Estimators for High-Dimensional Matrix Inference

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Spatially Varying Monte Carlo SURE for the Regularization of Biomedical Images

Physico-chemical properties prediction of hydrochar in macroalgae Sargassum horneri hydrothermal carbonisation

Global eigenvalue distribution of matrices defined by the skew-shift

Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization

Mutual Information for Low-Rank Even-Order Symmetric Tensor Factorization

Fréchet means and Procrustes analysis in Wasserstein space

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Procrustes Metrics on Covariance Operators and Optimal Transportation of Gaussian Processes

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Spatially Varying Monte Carlo SURE for the Regularization of Biomedical Images

Global eigenvalue distribution of matrices defined by the skew-shift

Physico-chemical properties prediction of hydrochar in macroalgae Sargassum horneri hydrothermal carbonisation

Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization

Procrustes Metrics on Covariance Operators and Optimal Transportation of Gaussian Processes

Streaming Low-Rank Matrix Approximation With An Application To Scientific Simulation

Hybrid regularisation and the (in)admissibility of ridge regression in infinite dimensional Hilbert spaces

Fréchet means and Procrustes analysis in Wasserstein space

Mutual Information for Low-Rank Even-Order Symmetric Tensor Factorization

Quantifying the Error of Light Transport Algorithms