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.
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New publications
Universal Approximation in Dropout Neural Networks
We have submitted Universal Approximation in Dropout Neural Networks, and it is currently under review. This is joint work between, Oxana Manita, Mark Peletier, Jacobus Portegies, Albert Senen-Cerda and myself. A preprint is available on arXiv.
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Asymptotic convergence rate of Dropout on shallow linear neural networks
We have submitted Asymptotic convergence rate of Dropout on shallow linear neural networks, and it is currently under review. This is joint work between Albert Senen-Cerda and myself. A preprint is available on arXiv.
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Modeling Rydberg Gases using Random Sequential Adsorption on Random Graphs
We have submitted “Modeling Rydberg Gases using Random Sequential Adsorption on Random Graphs.” This is joint work with Daan Rutten.
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Almost Sure Convergence of Dropout Algorithms for Neural Networks
We have submitted Almost Sure Convergence of Dropout Algorithms for Neural Networks, and it is currently under review. This is joint work between Albert Senen-Cerda and myself.
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Optimal clustering algorithms in Block Markov Chains
We have submitted Optimal Clustering Algorithms in Block Markov Chains, and it is currently under review. This is joint work between myself and Alexandre Proutiere. A preprint is available on arXiv.
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Scaling limits and generic bounds for exploration processes
We have submitted Scaling limits and generic bounds for exploration processes, and it is currently under review. It is joint work between Paola Bermolen, Matthieu Jonckheere, and Jaron Sanders. A preprint is available on arXiv.
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