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Spectral norm bounds for block Markov chain random matrices

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We have submitted Spectral norm bounds for block Markov chain random matrices, and it is currently under review. This is joint work between Albert Senen-Cerda and myself. A preprint is available on arXiv.

Universal Approximation in Dropout Neural Networks

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Dropout and Dropconnect on a shallow neural network

Asymptotic convergence rate of Dropout on shallow linear neural networks

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Modeling Rydberg Gases using Random Sequential Adsorption on Random Graphs

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Example random neural network when using Dropconnect

Almost Sure Convergence of Dropout Algorithms for Neural Networks

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Review

Eigenvalue rigidity for truncations of random unitary matrices

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Here is a public review of “Eigenvalue rigidity for truncations of random unitary matrices,” which I recently wrote for Mathematical Reviews.

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Open Competition ENW-KLEIN-1 grant

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I have recently been awarded an NWO Open Competition ENW-Klein-1 grant. The topic is Clustering and Spectral Concentration in Markov Chains.

Random Posts

Waarschijnlijkheidsrekening - Maattheoretische uitgangspunten en fundamentele eigenschappen

Book review: Waarschijnlijkheidsrekening

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First edition cover of Perfectly Reasonable Deviations from the Beaten Track: Selected letters of Richard P. Feynman, by Richard Feynman and Michelle Feynman

Feynman’s Perfectly Reasonable Deviations

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Universal Approximation in Dropout Neural Networks

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STAtOR journalistic-style article

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article arxiv asymptotics Block Markov Chains clustering Markov chain mathematics networks physics TU Delft
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