Gábor Lugosi received his PhD from the Hungarian Academy of Sciences in 1991 in electrical engineering. Since September 1996, he has been at the Department of Economics, Pompeu Fabra University. He became ICREA Research Professor in 2006.

Social & Behavioural Sciences

Research interests

Gábor Lugosi has mostly worked on problems in probability, mathematical statistics, the mathematics of learning theory, information theory, and game theory. His research has been motivated by applications in telecommunications and computer science and also by game-theoretic learning. Recently he has mostly worked on high-dimensional problems in statistics, random graphs, “on-line” learning and sequential optimization, and inequalities in probability theory.

– Cholaquidis A, Fraiman R, **Lugosi G** & Pateiro-López B 2016, ‘Set estimation from reflected Brownian motion’*, Journal of the Royal Statistical Society: Series B*, 78:1057–1078, 2016.

– Joly E & **Lugosi G** 2016, ‘Robust estimation of U-statistics’, *Stochastic Processes and their Applications,*126:3760-3773, 2016.

– Broutin N, Devroye L & **Lugosi G** 2016, ‘Almost optimal sparsification of random geometric graphs’, *Annals of Applied Probability*, vol. 26, no. 5, 3078-3109.

– Devroye L, Lerasle M, **Lugosi G **& Imbuzeiro Oliveira R 2016, ‘Sub-Gasussian mean estimators’, *Annals of Statistics*, 44:2695-2725, 2016.

– Associate editor of journals, including Probability Theory and Related Fields, Annals of Applied Probability, Journal of Machine Learning Research, TES, ESAIM: Probability and Statistics.

– Co-organizer of “Theoretical Foundations for Learning from Easy Data”, a workshop at the Lorentz Center, Leiden, Netherlands, November 2016.

– Co-organizer of “Conference on probability and statistics in high dimensions. A scientific tribute to Evarist Giné” at Centre de Recerca Matemàtica, Barcelona, June 2016.

– Member of the program committee of international conferences, including AofA’16, JMDA’16, COLT’16.

– Member of the Governing Board of the Barcelona Graduate School of Mathematics.

– Member of the Academic Committee of the Barcelona Graduate School of Economics.

– Invited talks at Oxford University, TU Eindhoven, University of Ottawa, Eotvos Lorand University.

– Invited plenary tutorial lecture at the 27th International Conference on Algorithmic Learning Theory, Bari, Italy.

– Keynote lecture at the Junior Conference on Data Science and Engineering. Paris, France.