3 papers
cs.LG2020
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
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…
cs.DS2019
Online Matching with General Arrivals
Buddhima Gamlath, Michael Kapralov, Andreas Maggiori +2
The online matching problem was introduced by Karp, Vazirani and Vazirani nearly three decades ago. In that seminal work, they studied this problem in bipartite graphs with vertice…