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Lilian Besson
Lilian Besson
Junior professor (agrégé) in Computer Science at Lycée Kléber, Strasbourg
Verified email at ac-strasbourg.fr - Homepage
Title
Cited by
Cited by
Year
lifelines: survival analysis in Python
C Davidson-Pilon
Journal of Open Source Software 4 (40), 1317, 2019
1282019
Multi-Player Bandits Revisited
L Besson, E Kaufmann
Algorithmic Learning Theory, 56-92, 2018
842018
Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings
R Bonnefoi, L Besson, C Moy, E Kaufmann, J Palicot
12th CROWNCOM, 12 pages, 2017
802017
What Doubling Tricks Can and Can't Do for Multi-Armed Bandits
L Besson, E Kaufmann
arXiv preprint arXiv:1803.06971, 2018
672018
The Generalized Likelihood Ratio Test meets klUCB: an Improved Algorithm for Piece-Wise Non-Stationary Bandits
L Besson, E Kaufmann
arXiv preprint arXiv:1902.01575, 2019
302019
SMPyBandits: an open-source research framework for single and multi-players multi-arms bandits (MAB) algorithms in Python
L Besson
Online at: github. com/SMPyBandits/SMPyBandits. Code at https://github. com …, 2018
162018
Decentralized spectrum learning for radio collision mitigation in ultra-dense IoT networks: LoRaWAN case study and experiments
C Moy, L Besson, G Delbarre, L Toutain
Annals of Telecommunications 75 (11), 711-727, 2020
92020
Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits
L Besson, E Kaufmann, OA Maillard, J Seznec
72020
Decentralized Spectrum Learning for IoT Wireless Networks Collision Mitigation
C Moy, L Besson
2019 15th International Conference on Distributed Computing in Sensor …, 2019
72019
GNU Radio Implementation of MALIN:“Multi-Armed bandits Learning for Internet-of-things Networks”
L Besson, R Bonnefoi, C Moy
2019 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2019
72019
Multi-Arm Bandit Algorithms for Internet of Things Networks: A TestBed Implementation and Demonstration that Learning Helps
L Besson, R Bonnefoi, C Moy
International Conference on Telecommunication, 2018
7*2018
Aggregation of multi-armed bandits learning algorithms for opportunistic spectrum access
L Besson, E Kaufmann, C Moy
2018 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2018
62018
MALIN: multi-armed bandit learning for Iot networks with GRC: a TestBed implementation and demonstration that Learning Helps
L Besson, R Bonnefoi, C Moy
ICT’2018, 2018
52018
Lower Bound for Multi-Player Bandits: Erratum for the paper Multi-player bandits revisited
L Besson, E Kaufmann
URL http://chercheurs. lille. inria. fr/ekaufman/BK19_Erratum_LB. pdf, 2019
32019
MALIN: an Implementation of Multi-Armed Bandits Learning Schemes for Internet-of-things Networks
L Besson, R Bonnefoi, C Moy
2019 IEEE Wireless Communications and Networking Conference (IEEE WCNC 2019 …, 2019
32019
Multi-Players Bandit Algorithms for Internet of Things Networks
L Besson
CentraleSupélec, 2019
22019
Upper-Confidence Bound for Channel Selection in LPWA Networks with Retransmissions
R Bonnefoi, L Besson, J Manco-Vasquez, C Moy
2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW …, 2019
22019
Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits
L Besson, E Kaufmann, OA Maillard, J Seznec
Journal of Machine Learning Research 23 (77), 1-40, 2022
12022
SMPyBandits: an Experimental Framework for Single and Multi-Players Multi-Arms Bandits Algorithms in Python
L Besson
12018
SMPyBandits: an Experimental Framework for Single and Multi-Players Multi-Arms Bandits Algorithms in Python
L Besson
12018
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