Lilian Besson

According to our database, Lilian Besson authored at least 12 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits.

Lilian Besson, Emilie Kaufmann, Odalric-Ambrym Maillard, Julien Seznec

J. Mach. Learn. Res., 2022

2020

Decentralized spectrum learning for radio collision mitigation in ultra-dense IoT networks: LoRaWAN case study and experiments.

Christophe Moy, Lilian Besson, Guillaume Delbarre, Laurent Toutain

Ann. des Télécommunications, 2020

2019

Multi-Players Bandit Algorithms for Internet of Things Networks. (Algorithmes de Bandits Multi-Joueurs pour les Réseaux de l'Internet des Objets).

Lilian Besson

PhD thesis, 2019

The Generalized Likelihood Ratio Test meets klUCB: an Improved Algorithm for Piece-Wise Non-Stationary Bandits.

Lilian Besson, Emilie Kaufmann

CoRR, 2019

Upper-Confidence Bound for Channel Selection in LPWA Networks with Retransmissions.

Rémi Bonnefoi, Lilian Besson, Julio Manco-Vásquez, Christophe Moy

Proceedings of the 2019 IEEE Wireless Communications and Networking Conference Workshop, 2019

GNU Radio Implementation of MALIN: "Multi-Armed bandits Learning for Internet-of-things Networks".

Lilian Besson, Rémi Bonnefoi, Christophe Moy

Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Decentralized Spectrum Learning for IoT Wireless Networks Collision Mitigation.

Christophe Moy, Lilian Besson

Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

2018

What Doubling Tricks Can and Can't Do for Multi-Armed Bandits.

Lilian Besson, Emilie Kaufmann

CoRR, 2018

Aggregation of multi-armed bandits learning algorithms for opportunistic spectrum access.

Lilian Besson, Emilie Kaufmann, Christophe Moy

Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

{Multi-Player Bandits Revisited}.

Lilian Besson, Emilie Kaufmann

Proceedings of the Algorithmic Learning Theory, 2018

2017

Multi-Player Bandits Models Revisited.

Lilian Besson, Emilie Kaufmann

CoRR, 2017

Multi-Armed Bandit Learning in IoT Networks: Learning Helps Even in Non-stationary Settings.

Rémi Bonnefoi, Lilian Besson, Christophe Moy, Emilie Kaufmann, Jacques Palicot

Proceedings of the Cognitive Radio Oriented Wireless Networks, 2017