Vianney Perchet is a professor at the Centre de recherche en économie et statistique (CREST) at the ENSAE since october 2019. Mainly focusing on the interplay between machine learning and game theory, his themes of research are at the junction of mathematics, computer science and economics. The spectrum of his interest ranges from pure theory (say, optimal rates of convergence of algorithms) to pure applications (modeling user behavior, optimisation of recommender systems, etc.) Before joining the ENSAE, he was a professor - and the head of the maths department - at the Ecole Normale Supérieure of Paris Saclay, at the CMLA (aka Centre Borelli) from 2016 to 2019. Prior to that, he was assistant professor at the University Paris Diderot (Paris VII) at the LPMA (aka LPSM). He is currently advising 5 young PhD students on different topics (Reinforcement learning, Social learning, Online matching and bandits), while 4 students - now doctors - have already defended their thesis on bandits and auction theory. Always willing to discuss and advise, feel free to check the potential projects and/or to bring your own !
|Enseignant||Identifiant||Intitulé||Instructor||Heures de TD||Jours||Heures de cours||Crédits ECTS||Modalité examen|
|Vianney Perchet||OMI334||Auction: Learning and Approximations||0||21||3||écrit|
|Vianney Perchet||OMI2F4||Theoretical foundations of Machine Learning||9||15||2||écrit|