Gábor Lugosi

Gábor Lugosi

Universitat Pompeu Fabra

Social & Behavioural Sciences

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.

Research interests

Gábor Lugosi has mostly worked on the mathematics of machine learning, probability, mathematical statistics, 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.

Selected publications

Lugosi G & Mendelson S 2019, ‘Sub-Gaussian estimators of the mean of a random vector’, Annals of Statistics, Vol. 47, No. 2, 783-794.

Lugosi G & Pereira SA 2019, ‘Finding the seed uniform attachment trees’Electronic Journal of Probability, Vol. 24, paper no. 18, 1-15.

Lugosi G & Mendelson S 2019, ‘Near-optimal mean estimators with respect to general norms’, Probability Theory and Related Fields, 175, 3-4, 957 – 973.

– Addario-Berry L, Devroye L, Lugosi G & Imbuzeiro Oliveira R 2019, ‘Local optima of the Sherrington-Kirkpatrick Hamiltonian’, Journal of Mathematical Physics, 60, 4, 043301.

Lugosi G & Mendelson S 2019, ‘Mean estimation and regression under heavy-tailed distributions—a survey’, Foundations of Computational Mathematics,19(5), 1145-1190.

Lugosi G & Mendelson S 2019, ‘Regularization, sparse recovery, and median-of-means tournaments’, Bernoulli, Vol. 25, No. 3, 2075-2106.

Selected research activities

Gábor Lugosi was a visiting researcher at the School of Computer Science of McGill University between September and December, 2019.
He was also an invited visiting researcher at IMPA, Rio de Janeiro, for the month of May, 2019.
He is the funding co-editor of the journal Mathematical Statistics and Learning, published by the European Mathematical Society.
He is associate editor of the journals Probability Theory and Related Fields, Annals of Applied Probability, Journal of Machine Learning Research, Machine Learning Journal, TEST, and ESAIM: Probability and Statistics.
He was a panel member of the 2019 ERC Synergy Grants.
He is the Principal Investigator of a Google Focused Award, a Fundación BBVA grant to Research groups on Big Data, a research group project funded by the Spanish Ministry of Science, Innovation, and Universities, and another one funded by the Catalan governmental agency AGAUR.