collaborators

5 papers

cs.DS2020

The Submodular Santa Claus Problem in the Restricted Assignment Case

Etienne Bamas, Paritosh Garg, Lars Rohwedder

The submodular Santa Claus problem was introduced in a seminal work by Goemans, Harvey, Iwata, and Mirrokni (SODA'09) as an application of their structural result. In the mentioned…

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.DS2020

The Combinatorial Santa Claus Problem or: How to Find Good Matchings in Non-Uniform Hypergraphs

Etienne Bamas, Paritosh Garg, Lars Rohwedder

We consider hypergraphs on vertices where each hyperedge contains exactly one vertex in . Our goal is to select a matching that covers all of , but we allow each se…

math.CO2018

Distributed coloring of graphs with an optimal number of colors

Étienne Bamas, Louis Esperet

This paper studies sufficient conditions to obtain efficient distributed algorithms coloring graphs optimally (i.e.\ with the minimum number of colors) in the LOCAL model of comput…