# Articles
This folder contains a list of pre-prints and research articles published during my PhD and after.

[I (Lilian Besson)](https://perso.crans.org/besson/) started my PhD on October 2016 and should finish in 2019.

- Everything here is © 2011-2019 for Lilian Besson *and collaborators*.
- The bibTeX files come from [HAL](https://hal.archives-ouvertes.fr/).
- For every PDF, I also include a responsive web version of the article (converted from LaTeX to HTML with [engrafo](https://github.com/arxiv-vanity/engrafo/)). It looks good but this is nothing but experimental!
[ICO]NameLast modifiedSizeDescription
[PARENTDIR]Parent Directory  - (Root of this website)
[DIR]BK__COLT_2019/2020-04-13 03:19 - Responsive web version for The Generalized Likelihood Ratio Test meets klUCB: an Improved Algorithm for Piece-Wise Non-Stationary Bandits. See the HAL notice.
[DIR].BMBM__IEEE_WCNC_2019/2020-04-13 03:19 - Upper-Confidence Bound for Frequency Selection in IoT Networks with Retransmissions, by R. Bonnefoi, L. Besson, J. Manco-Vasquez, C. Moy. Presented at MoTION Workshop, at IEEE WCNC 2019. See the HAL notice.
[DIR]BK__ALT_2019/2020-04-13 03:20 -  
[DIR]BK__COLT_2018/2020-04-13 03:21 -  
[DIR]BBMKP_CROWNCOM_2017/2021-03-04 16:23 - Responsive web version for Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings. See the HAL notice.
[DIR]BK__DoublingTricks_2019/2021-03-04 16:23 - Responsive web version for What Doubling-Trick Can and Can't Do for Multi-Armed Bandits. See the HAL notice.
[DIR]BKM__IEEE_WCNC_2018/2021-03-04 16:23 - Responsive web version for Aggregation of Multi-Armed Bandits learning algorithms for Opportunistic Spectrum Access in Cognitive Radio. See the HAL notice.
[DIR]BK__GLRT-klUCB_2019/2021-03-04 16:23 - Responsive web version for The Generalized Likelihood Ratio Test meets klUCB: an Improved Algorithm for Piece-Wise Non-Stationary Bandits. See the HAL notice.
[DIR]BBM__IEEE_WCNC_2019/2021-03-04 16:23 - Responsive web version for GNU Radio Implementation of MALIN: 'Multi-Armed bandits Learning for Internet-of-things Network'. See the HAL notice.
[DIR]BMBM__IEEE_WCNC_2019/2021-03-04 16:24 - Upper-Confidence Bound for Frequency Selection in IoT Networks with Retransmissions, by R. Bonnefoi, L. Besson, J. Manco-Vasquez, C. Moy. Presented at MoTION Workshop, at IEEE WCNC 2019. See the HAL notice.
[DIR]BK__ALT_2018/2021-03-04 16:24 - Responsive web version for Multi-Player Bandit Revisited. See the HAL notice.
[DIR].BKM__URSI_APRC_2019/2021-03-04 16:24 -  
[ ]BKM__AISTATS_2019.pdf2020-04-13 03:17 838K 
[ ]BBM__Demo_ICT_2018.pdf2020-04-13 03:17 2.1MPaper to present the demonstration Multi-Arm Bandit Algorithms for Internet of Things Networks: A TestBed Implementation and Demonstration that Learning Helps we showed at the ICT 2018 Conference, in Saint-Malo, June 2018. Joint work with L.Besson, R.Bonnefoi and C.Moy. See the HAL notice.
[ ]BK__COLT_2019.pdf2020-04-13 03:17 1.2MThe Generalized Likelihood Ratio Test meets klUCB: an Improved Algorithm for Piece-Wise Non-Stationary Bandits, by L.Besson, E.Kaufmann. See the HAL notice.
[ ].BMBM__IEEE_WCNC_2019.pdf2020-04-13 03:17 367KUpper-Confidence Bound for Frequency Selection in IoT Networks with Retransmissions, by R. Bonnefoi, L. Besson, J. Manco-Vasquez, C. Moy. Presented at MoTION Workshop, at IEEE WCNC 2019. See the HAL notice.
[ ]besson-hal-02013866.bibtex2020-04-13 03:17 462 Paper to present the demonstration Multi-Arm Bandit Algorithms for Internet of Things Networks: A TestBed Implementation and Demonstration that Learning Helps we showed at the ICT 2018 Conference, in Saint-Malo, June 2018. Joint work with L.Besson, R.Bonnefoi and C.Moy. See the HAL notice.
[ ]moy-hal-02144465.bibtex2020-04-13 03:17 615 Decentralized Spectrum Learning for IoT Wireless Networks Collision Mitigation, by C.Moy, L.Besson, Presented at ISIoT workshop, DCOSS 2019. See the HAL notice.
[ ]BK__ALT_2019.pdf2020-04-13 03:17 949K 
[ ]BK__COLT_2018.pdf2020-04-13 03:17 439K 
[ ]besson-hal-02152243.bibtex2020-04-13 03:18 489 Analyse non asymptotique d'un test séquentiel de détection de rupture et application aux bandits non stationnaires, by L.Besson, E.Kaufmann, GRETSI 2019. See the HAL notice.
[ ]MB__ISIoT_2019.docx2020-04-13 03:18 1.0M 
[ ].BK__ALT_2019.pdf2020-04-13 03:18 684K 
[ ].BMBBM__IEEE_WCNC__2019.pdf2020-04-13 03:18 323K 
[ ]besson-hal-02006825.bibtex2021-03-04 16:23 539 GNU Radio Implementation of MALIN: 'Multi-Armed bandits Learning for Internet-of-things Network', by L.Besson, R.Bonnefoi, C.Moy. Presented at IEEE WCNC 2019. See the HAL notice.
[ ].BBM__Demo_ICT_2018.pdf2021-03-04 16:23 342KPaper to present the demonstration Multi-Arm Bandit Algorithms for Internet of Things Networks: A TestBed Implementation and Demonstration that Learning Helps we showed at the ICT 2018 Conference, in Saint-Malo, June 2018. Joint work with L.Besson, R.Bonnefoi and C.Moy. See the HAL notice.
[ ]bonnefoi-hal-01575419.bibtex2021-03-04 16:23 757 Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings, by R.Bonnefoi, L.Besson, C.Moy, E.Kaufmann, J.Palicot. Presented at EAI CROWNCOM 2017. See the HAL notice. Best Paper Award!
[ ]bonnefoi-hal-02013866.bibtex2021-03-04 16:23 451 Poster to present the demonstration MALIN: Multi-Arm bandit Learning for Iot Networks with GRC: A TestBed Implementation and Demonstration that Learning Helps. , at the ICT Conference in Saint-Malo, July 2018. See the HAL notice.
[ ]bonnefoi-hal-02049824.bibtex2021-03-04 16:23 798 Upper-Confidence Bound for Frequency Selection in IoT Networks with Retransmissions, by R. Bonnefoi, L. Besson, J. Manco-Vasquez, C. Moy. Presented at MoTION Workshop, at IEEE WCNC 2019. See the HAL notice.
[ ].MBDT__Annales_2019.pdf2021-03-04 16:23 2.0M 
[ ]A_note_on_the_Ei_function.pdf2021-03-04 16:23 187KA Note on the Ei Function and a Useful Sum-Inequality, by L.Besson. See the HAL notice.
[ ]BBM__IEEE_WCNC_2019.pdf2021-03-04 16:23 1.1MGNU Radio Implementation of MALIN: 'Multi-Armed bandits Learning for Internet-of-things Network', by L.Besson, R.Bonnefoi, C.Moy. Presented at IEEE WCNC 2019. See the HAL notice.
[ ]BK__GRETSI_2019.pdf2021-03-04 16:23 339KAnalyse non asymptotique d'un test séquentiel de détection de rupture et application aux bandits non stationnaires, by L.Besson, E.Kaufmann, GRETSI 2019. See the HAL notice.
[TXT].BK__EWRL_2018.tex2021-03-04 16:23 14K 
[ ].PhD_thesis__Lilian_Besson.pdf2021-03-04 16:23 11M 
[ ]SMPyBandits__JMLR_MLOSS__07-2018.pdf2021-03-04 16:23 522KSMPyBandits: an Experimental Framework for Single and Multi-Players Multi-Arms Bandits (MAB) Algorithms in Python, by L.Besson. See the code and the the documentation!
[ ]besson-hal-02013847.bibtex2021-03-04 16:23 395 Poster to present the paper Multi-Player Bandits Revisited, at the Workshop on MAB and Learning Algorithms in Rotterdam (May 2018), and IETR seminar in Vannes, June 2018. See the HAL notice.
[ ]besson-hal-01705292.bibtex2021-03-04 16:23 705 Aggregation of Multi-Armed Bandits learning algorithms for Opportunistic Spectrum Access in Cognitive Radio, by L.Besson, E.Kaufmann, C.Moy. Presented at IEEE WCNC 2018. See the HAL notice.
[ ]BBMKP_CROWNCOM_2017.pdf2021-03-04 16:23 327KMulti-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings, by R.Bonnefoi, L.Besson, C.Moy, E.Kaufmann, J.Palicot. Presented at EAI CROWNCOM 2017. See the HAL notice. Best Paper Award!
[ ]besson-hal-01736357.bibtex2021-03-04 16:23 454 What Doubling-Trick Can and Can't Do for Multi-Armed Bandits, by L.Besson, E.Kaufmann. See the HAL notice.
[ ]bonnefoi-hal-02013839.bibtex2021-03-04 16:23 456 Poster to present the paper Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings, at the PhD Students Day at IETR, July 2017. See the HAL notice.
[ ]Poster_JdD__Lilian_Besson__Multi-Player_Bandits.en.pdf2021-03-04 16:23 512KPoster to present the paper Multi-Player Bandits Revisited, at the Workshop on MAB and Learning Algorithms in Rotterdam (May 2018), and IETR seminar in Vannes, June 2018. See the HAL notice.
[ ]PhD_thesis__Lilian_Besson.pdf2021-03-04 16:23 11M 
[ ]besson-hal-01629733.bibtex2021-03-04 16:23 602 Multi-Player Bandit Revisited, by L.Besson, E.Kaufmann. Presented at ALT 2018. See the HAL notice.
[ ]BK__ALT_2018.pdf2021-03-04 16:23 1.1MMulti-Player Bandit Revisited, by L.Besson, E.Kaufmann. Presented at ALT 2018. See the HAL notice.
[ ]LICENSE2021-03-04 16:23 1.2KAll these documents are (C) Lilian Besson and collaborators, 2016-2019; and published here under the terms of the MIT License.
[ ].PhD_thesis__Lilian_Besson__sans_remerciements.pdf2021-03-04 16:23 9.7M 
[ ]besson-hal-01847480.bibtex2021-03-04 16:23 385 A Note on the Ei Function and a Useful Sum-Inequality, by L.Besson. See the HAL notice.
[ ]BK__ALT_2018__Erratum_Lower-Bound.pdf2021-03-04 16:23 171KResponsive web version for Multi-Player Bandit Revisited. See the HAL notice.
[ ]Poster_JdD__Remi_Bonnefoi_and_Lilian_Besson__IoT_slotted.en.pdf2021-03-04 16:24 403KPoster to present the paper Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings, at the PhD Students Day at IETR, July 2017. See the HAL notice.
[ ]besson-hal-01840022.bibtex2021-03-04 16:24 569 SMPyBandits: an Experimental Framework for Single and Multi-Players Multi-Arms Bandits (MAB) Algorithms in Python, by L.Besson. See the code and the the documentation!
[TXT].PhD_thesis__Lilian_Besson.tex2021-03-04 16:24 6.0K 
[ ]BMBM__IEEE_WCNC_2019.pdf2021-03-04 16:24 247KUpper-Confidence Bound for Frequency Selection in IoT Networks with Retransmissions, by R. Bonnefoi, L. Besson, J. Manco-Vasquez, C. Moy. Presented at MoTION Workshop, at IEEE WCNC 2019. See the HAL notice.
[ ]SMPyBandits__Long_Version__02-2018.pdf2021-03-04 16:24 557KSMPyBandits: an Experimental Framework for Single and Multi-Players Multi-Arms Bandits (MAB) Algorithms in Python, by L.Besson. See the code and the the documentation!
[ ]MB__ISIoT_2019.pdf2021-03-04 16:24 1.3MDecentralized Spectrum Learning for IoT Wireless Networks Collision Mitigation, by C.Moy, L.Besson, Presented at ISIoT workshop, DCOSS 2019. See the HAL notice.
[ ].BK__EWRL_2018.pdf2021-03-04 16:24 62K 
[ ]BK__DoublingTricks_2019.pdf2021-03-04 16:24 949KWhat Doubling-Trick Can and Can't Do for Multi-Armed Bandits, by L.Besson, E.Kaufmann. See the HAL notice.
[ ]BBM__Poster_Demo_ICT_2018.pdf2021-03-04 16:24 917KPoster to present the demonstration MALIN: Multi-Arm bandit Learning for Iot Networks with GRC: A TestBed Implementation and Demonstration that Learning Helps. , at the ICT Conference in Saint-Malo, July 2018. See the HAL notice.
[ ].PhD_thesis__Lilian_Besson__20-06-2019.pdf2021-03-04 16:24 8.7M 
[ ]BK__GLRT-klUCB_2019.pdf2021-03-04 16:24 1.2MThe Generalized Likelihood Ratio Test meets klUCB: an Improved Algorithm for Piece-Wise Non-Stationary Bandits, by L.Besson, E.Kaufmann. See the HAL notice.
[TXT]SMPyBandits.bib2021-03-04 16:24 465 SMPyBandits: an Experimental Framework for Single and Multi-Players Multi-Arms Bandits (MAB) Algorithms in Python, by L.Besson. See the code and the the documentation!
[ ]BKM__IEEE_WCNC_2018.pdf2021-03-04 16:24 287KAggregation of Multi-Armed Bandits learning algorithms for Opportunistic Spectrum Access in Cognitive Radio, by L.Besson, E.Kaufmann, C.Moy. Presented at IEEE WCNC 2018. See the HAL notice.
[ ]besson-hal-02006471.bibtex2021-03-04 16:24 650 The Generalized Likelihood Ratio Test meets klUCB: an Improved Algorithm for Piece-Wise Non-Stationary Bandits, by L.Besson, E.Kaufmann. See the HAL notice.
[ ].BKM__URSI_APRC_2019.pdf2021-03-04 16:24 545K 
[ ].PhD_thesis__Lilian_Besson__avec_remerciements.pdf2021-03-04 16:24 9.7M 
## More details on myself
- https://perso.crans.org/besson/
- https://github.com/Naereen
- https://bitbucket.org/lbesson