Stochastic gradient descent (SGD) provides a scalable way to compute parameter estimates in applications involving large-scale data or streaming data. As an alternative version, averaged implicit SGD ...
Queueing networks are stochastic systems formed by interconnected resources routing and serving jobs. They induce jump processes with distinctive properties, and find widespread use in inferential ...
On Wednesday the 17th of February 2021, M.Sc. Joseph Sakaya will defend his doctoral thesis From Approximations to Decisions. The thesis is related to research done in the Department of Computer ...
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