Gábor Lugosi

Full professor at UPF
Research area: Statistics

PhD in Electrical Engineering obtained at Hungarian Academy of Sciences (1991)


Gábor Lugosi graduated in electrical engineering at the Technical University of Budapest in 1987, and received his Ph.D. from the Hungarian Academy of Sciences in 1991. Since 1996, he has been at the Department of Economics, Pompeu Fabra University, Barcelona. In 2006 he became an ICREA research professor.

Research lines

  • Theory of machine learning
  • Combinatorial statistics
  • Inequalities in probability
  • Random graphs and random structures
  • Information theory

Selected publications

  • S. Boucheron, G. Lugosi, P. Massart. Concentration Inequalities: A Nonasymptotic Theory of Independence. Oxford University Press, 2013.
  • N. Cesa-Bianchi and G. Lugosi. Prediction, Learning, and Games. Cambridge University Press, 2006.
  • N. Broutin, L. Devroye, and G. Lugosi. Almost optimal sparsification of random geometric graphs. Annals of Applied Probability, 2016.
  • C. Brownlees, E. Joly, and G. Lugosi. Empirical risk minimization for heavy-tailed losses. Annals of Statistics, 43:2507–2536, 2015.
  • J.Y. Audibert, S. Bubeck, and G. Lugosi. Regret in online combinatorial optimization. Mathematics of Operations Research, 39:31–45, 2014.