348 citations · 1.2k across the 81 of their papers we have counts for
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Fast Approximation Algorithms for Near-optimal Large-scale Network Monitoring
Michael Kallitsis, Stilian Stoev, George Michailidis
We study the problem of optimal traffic prediction and monitoring in large-scale networks. Our goal is to determine which subset of K links to monitor in order to "best" predict th…
Threshold estimation based on a p-value framework in dose-response and regression settings
Atul Mallik, Bodhisattva Sen, Moulinath Banerjee +1
We use p-values to identify the threshold level at which a regression function takes off from its baseline value, a problem motivated by applications in toxicological and pharmacol…
A two-stage hybrid procedure for estimating an inverse regression function
Runlong Tang, Moulinath Banerjee, George Michailidis
We consider a two-stage procedure (TSP) for estimating an inverse regression function at a given point, where isotonic regression is used at stage one to obtain an initial estimate…
Cone Schedules for Processing Systems in Fluctuating Environments
Kevin Ross, Nicholas Bambos, George Michailidis
We consider a generalized processing system having several queues, where the available service rate combinations are fluctuating over time due to reliability and availability varia…