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Résumé HAL : Lilian Besson


I am Lilian Besson, a former student in Mathematics and Computer Science at ENS de Cachan. I am a passionnate programmer, open-source enthusiast and young researcher in machine learning, learning theory and cognitive radio.

 Since september 2016 and until fall 2019 :


Conference papers5 documents

  • Remi Bonnefoi, Lilian Besson, Julio Manco-Vasquez, Christophe Moy. Upper-Confidence Bound for Channel Selection in LPWA Networks with Retransmissions. The 1st International Workshop on Mathematical Tools and technologies for IoT and mMTC Networks Modeling, Philippe Mary; Samir Perlaza; Petar Popovski, Apr 2019, Marrakech, Morocco. ⟨hal-02049824v1⟩
  • Lilian Besson, Remi Bonnefoi, Christophe Moy. GNU Radio Implementation of MALIN: "Multi-Armed bandits Learning for Internet-of-things Networks". IEEE WCNC 2019 - IEEE Wireless Communications and Networking Conference, Apr 2019, Marrakech, Morocco. ⟨hal-02006825⟩
  • Lilian Besson, Emilie Kaufmann, Christophe Moy. Aggregation of Multi-Armed Bandits Learning Algorithms for Opportunistic Spectrum Access. IEEE WCNC - IEEE Wireless Communications and Networking Conference, Apr 2018, Barcelona, Spain. ⟨10.1109/wcnc.2018.8377070⟩. ⟨hal-01705292⟩
  • Lilian Besson, Emilie Kaufmann. Multi-Player Bandits Revisited. Algorithmic Learning Theory, Mehryar Mohri; Karthik Sridharan, Apr 2018, Lanzarote, Spain. ⟨hal-01629733v2⟩
  • Rémi Bonnefoi, Lilian Besson, Christophe Moy, Emilie Kaufmann, Jacques Palicot. Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings. CROWNCOM 2017 - 12th EAI International Conference on Cognitive Radio Oriented Wireless Networks, Sep 2017, Lisbon, Portugal. pp.173-185, ⟨10.1007/978-3-319-76207-4_15⟩. ⟨hal-01575419v2⟩

Poster communications3 documents

  • Lilian Besson. Multi-Player Bandits Revisited. Séminaire « IETR : Interagir Evaluer Transmettre Réunir », Jun 2018, Vannes, France. ⟨hal-02013847⟩
  • Remi Bonnefoi, Lilian Besson, Christophe Moy. Multi-Armed bandit Learning in Iot Networks (MALIN). ICT2018 - 25th International Conference on Telecommunications, Jun 2018, Saint-Malo, France. ⟨http://ict-2018.org/demos/⟩. ⟨hal-02013866⟩
  • Remi Bonnefoi, Lilian Besson. Multi-Armed Bandit Learning in IoT Networks. Journée des Doctorants de l'IETR, Jul 2017, Rennes, France. ⟨hal-02013839⟩

Preprints, Working Papers, ...3 documents

  • Lilian Besson, Emilie Kaufmann. The Generalized Likelihood Ratio Test meets klUCB: an Improved Algorithm for Piece-Wise Non-Stationary Bandits. 2019. ⟨hal-02006471⟩
  • Lilian Besson, Emilie Kaufmann. What Doubling Tricks Can and Can't Do for Multi-Armed Bandits. 2018. ⟨hal-01736357⟩
  • Lilian Besson. SMPyBandits: an Experimental Framework for Single and Multi-Players Multi-Arms Bandits Algorithms in Python. 2018. ⟨hal-01840022⟩

Lectures1 document

  • Pierre Haessig, Lilian Besson. Julia, my new friend for computing and optimization?. Master. France. 2018. ⟨cel-01830248⟩