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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Tag: asymptotics
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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Scaled control in the QED regime
We will present Scaled control in the QED regime at Performance 2013, which is joint work between A.J.E.M. Janssen, J.S.H. van Leeuwaarden and Jaron Sanders. You can find the preprint on arXiv. The published version appeared in the journal Performance Evaluation, volume 70, issue 10. Scaled control in the QED regime Abstract We develop many-server
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