| lifelines: survival analysis in Python C Davidson-Pilon Journal of Open Source Software 4 (40), 1317, 2019 | 520 | 2019 |
| Multi-Player Bandits Revisited L Besson, E Kaufmann Algorithmic Learning Theory, 56-92, 2018 | 121 | 2018 |
| What Doubling Tricks Can and Can't Do for Multi-Armed Bandits L Besson, E Kaufmann arXiv preprint arXiv:1803.06971, 2018 | 114 | 2018 |
| 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 | 108 | 2017 |
| 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 | 51 | 2019 |
| 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 | 24 | 2018 |
| 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 | 21 | 2022 |
| 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 | 18 | 2020 |
| 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 | 12 | 2019 |
| 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 | 12* | 2018 |
| Decentralized Spectrum Learning for IoT Wireless Networks Collision Mitigation C Moy, L Besson 2019 15th International Conference on Distributed Computing in Sensor …, 2019 | 10 | 2019 |
| Efficient change-point detection for tackling piecewise-stationary bandits L Besson, E Kaufmann, OA Maillard, J Seznec arXiv preprint arXiv:1902.01575, 2019 | 9 | 2019 |
| 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 | 8 | 2019 |
| 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 | 7 | 2018 |
| Multi-Players Bandit Algorithms for Internet of Things Networks L Besson CentraleSupélec, 2019 | 6 | 2019 |
| 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 | 4 | 2018 |
| 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 | 3 | 2019 |
| 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 | 2 | 2019 |
| Self-Organizing Maps (SOM) and Dynamic SOM, models of cortical plasticity L Besson | 2 | 2016 |
| SMPyBandits: an Experimental Framework for Single and Multi-Players Multi-Arms Bandits Algorithms in Python L Besson | 1 | 2018 |
Emilie KaufmannCNRS & Univ. Lille (CRIStAL)Verified email at inria.fr
