I am a PhD student at CRIStAL (CNRS) in the Inria Scool team (formerly SequeL), under the supervision of Emilie Kaufmann and Rémy Degenne. Prior to my PhD, I graduated from ETH Zurich and École Polytechnique.My main research interest is Multi-Armed Bandits, with a particular focus on identification problems. I also explore the theoretical understanding of these algorithms when only few samples are available.My research interests also include reinforcement learning, online learning, Bayesian optimization, statistics and machine learning in general. I focus on developing theoretically well-founded and practically applicable algorithms.
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Postdoctoral ResearcherEpflLausanne, Vd, Ch -
Phd StudentInria Sep 2021 - PresentLille, Hauts-De-France, France"Adaptive algorithms for decision making with limited samples" under the supervision of Emilie Kaufmann and Rémy Degenne. -
Research InternInria Mar 2021 - Aug 2021Lille, Hauts-De-France, FranceBandit identification with continuous answers under the supervision of Dr. Rémy Degenne. -
Master ThesisEth Zürich Mar 2020 - Sep 2020"Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback", The 32nd International Conference on Algorithmic Learning Theory (ALT 2021) -
Teaching AssistantEth Zürich Mar 2020 - Apr 2020Zurich, Suisse"Machine Perception" course taught by Prof. Dr. Otmar Hilliges during Spring 2020 -
Data ScientistAmag Group Nov 2018 - Sep 2019Région De Zürich, Suisse• Create a recommender system for both customers and cars• Develop models to predict churn and customer recovery -
Research Intern In Real World Ai @ Singapore LabIbm Apr 2018 - Sep 2018Singapore• "Characterizing Entities in the Bitcoin Blockchain", 18th IEEE International Conference on Data Mining (ICDM 2018)• "A Probabilistic Model of the Bitcoin Blockchain", IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019) -
Chief Of The SecurityPoint Gamma Dec 2016 - Dec 2017Palaiseau, France• Dealt with several companies to provide the security, the medical assistance andthe logistic to organize this event gathering 5500 students, the biggest in France• Coordinated the staff of 50 people during the event, allowing no incident• Managed a team of 5 people and the security budget of 60.000 euros
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Intern In R&DStmicroelectronics Jun 2017 - Aug 2017Crolles• Studied the state of the art in neural network• Programmed convolutional neural network• Transformed algorithm into synthesizable hardware implementation -
Officer (Aspirant)Gendarmerie Nationale Sep 2015 - Apr 2016Région Centre Val De Loire• Assisted a commander leading around 100 soldiers• Assigned in seven different units adding thoughtful points of view
Marc Jourdan Skills
Marc Jourdan Education Details
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Data Science -
Computer Science, Applied Mathematics, Physics -
Mathematics And Physics
Frequently Asked Questions about Marc Jourdan
What company does Marc Jourdan work for?
Marc Jourdan works for Epfl
What is Marc Jourdan's role at the current company?
Marc Jourdan's current role is Postdoctoral researcher.
What schools did Marc Jourdan attend?
Marc Jourdan attended Eth Zürich, École Polytechnique, Lycée Louis-Le-Grand.
What skills is Marc Jourdan known for?
Marc Jourdan has skills like Python, Java, C++, Gestion De Projet, Management, Physics, Applied Mathematics, Computer Science, R.
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Marc Jourdan
P1 Electronics Projet Manager - Electronics Product Line - Chez ValeoGreater Paris Metropolitan Region3gmail.com, pioneer.com, valeo.com -
Marc Jourdan
Médiateur En Entreprise, Facilitateur De Relations Apaisées Dans Le Monde Du TravailPalaiseau -
2atempo.com, sfr.fr
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