activity
20182026
most citedThe Primal-Dual method for Learning Augmented Algorithms

22 citations · 38 across the 9 of their papers we have counts for

collaborators

13 papers

cs.MS2026

-server-bench: Automating Potential Discovery for the -Server Conjecture

Kirill Brilliantov, Etienne Bamas, Emmanuel Abbé

We introduce a code-based challenge for automated, open-ended mathematical discovery based on the -server conjecture, a central open problem in competitive analysis. The task is…

cs.DS2025

Randomized Rounding over Dynamic Programs

Etienne Bamas, Shi Li, Lars Rohwedder

We show that under mild assumptions for a problem whose solutions admit a dynamic programming-like recurrence relation, we can still find a solution under additional packing constr…

cs.DS2024

The Submodular Santa Claus Problem

Etienne Bamas, Sarah Morell, Lars Rohwedder

We consider the problem of allocating indivisible resources to players so as to maximize the minimum total value any player receives. This problem is sometimes dubbed the Santa Cla…

cs.DS2024

Lift-and-Project Integrality Gaps for Santa Claus

Etienne Bamas

This paper is devoted to the study of the MaxMinDegree Arborescence (MMDA) problem in layered directed graphs of depth , which is an important specia…

cs.DS2023

An Analysis of seeding for -means

Etienne Bamas, Sai Ganesh Nagarajan, Ola Svensson

One of the most popular clustering algorithms is the celebrated seeding algorithm (also know as -means++ when ) by Arthur and Vassilvitskii (2007), who showed that it…

cs.DS2022★ 1 cited

A Simple LP-Based Approximation Algorithm for the Matching Augmentation Problem

Etienne Bamas, Marina Drygala, Ola Svensson

The Matching Augmentation Problem (MAP) has recently received significant attention as an important step towards better approximation algorithms for finding cheap -edge connecte…

cs.DS2021

An Improved Analysis of Greedy for Online Steiner Forest

Étienne Bamas, Marina Drygala, Andreas Maggiori

This paper considers the classic Online Steiner Forest problem where one is given a (weighted) graph and an arbitrary set of terminal pairs $\{\{s_1,t_1\},\ldots ,\{s_k,t_k…

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★ 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…

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.CO2019★ 1 cited

Local approximation of the Maximum Cut in regular graphs

Étienne Bamas, Louis Esperet

This paper is devoted to the distributed complexity of finding an approximation of the maximum cut in graphs. A classical algorithm consists in letting each vertex choose its side…

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…