activity
20172021
most citedDecentralized Learning in Online Queuing Systems

6 citations · 10 across the 2 of their papers we have counts for

collaborators

9 papers

stat.ML20216 cited

Decentralized Learning in Online Queuing Systems

Flore Sentenac, Etienne Boursier, Vianney Perchet

Motivated by packet routing in computer networks, online queuing systems are composed of queues receiving packets at different rates. Repeatedly, they send packets to servers, each…

stat.ML2021

Making the most of your day: online learning for optimal allocation of time

Etienne Boursier, Tristan Garrec, Vianney Perchet +1

We study online learning for optimal allocation when the resource to be allocated is time. %Examples of possible applications include job scheduling for a computing server, a drive…

stat.ML2020

Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits

Pierre Perrault, Etienne Boursier, Vianney Perchet +1

We investigate stochastic combinatorial multi-armed bandit with semi-bandit feedback (CMAB). In CMAB, the question of the existence of an efficient policy with an optimal asymptoti…

cs.LG2020

Selfish Robustness and Equilibria in Multi-Player Bandits

Etienne Boursier, Vianney Perchet

Motivated by cognitive radios, stochastic multi-player multi-armed bandits gained a lot of interest recently. In this class of problems, several players simultaneously pull arms an…

stat.ML2019

Utility/Privacy Trade-off through the lens of Optimal Transport

Etienne Boursier, Vianney Perchet

Strategic information is valuable either by remaining private (for instance if it is sensitive) or, on the other hand, by being used publicly to increase some utility. These two ob…

stat.ML2019

A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players

Etienne Boursier, Emilie Kaufmann, Abbas Mehrabian +1

We study a multiplayer stochastic multi-armed bandit problem in which players cannot communicate, and if two or more players pull the same arm, a collision occurs and the involved…