Gábor Lugosi

ICREA-UPF and BSE

PhD, Hungarian Academy of Sciences

Research interests

  • Theory of Machine Learning
  • Combinatorial Statistics
  • Inequalities in probability
  • Random graphs and random structures
  • Information Theory
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Teaching at the Barcelona School of Economics

Gabor Lugosi is ICREA Research Professor at UPF and BSE Research Professor.

Professor 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.

He is Associate Editor of the journals Probability Theory and Related Fields and Annals of Applied Probability.

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