22 citations · 38 across the 9 of their papers we have counts for
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cs.LG2020★ 22 cited
The Primal-Dual method for Learning Augmented Algorithms
Étienne Bamas, Andreas Maggiori, Ola Svensson
The extension of classical online algorithms when provided with predictions is a new and active research area. In this paper, we extend the primal-dual method for online algorithms…
cs.LG2020★ 14 cited
Learning Augmented Energy Minimization via Speed Scaling
Étienne Bamas, Andreas Maggiori, Lars Rohwedder +1
As power management has become a primary concern in modern data centers, computing resources are being scaled dynamically to minimize energy consumption. We initiate the study of a…