World's Best Scientists 2026 revealed!
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Mathematics
Spain
2026

D-Index & Metrics

Mathematics

D-Index
67
Citations
31843
World Ranking
326
National Ranking
4

Engineering and Technology

D-Index
62
Citations
27861
World Ranking
1842
National Ranking
38

Research.com Recognitions

  • 2026 - Research.com Mathematics in Spain Leader Award
  • 2025 - Research.com Mathematics in Spain Leader Award
  • 2022 - Research.com Mathematics in Spain Leader Award

Overview

Gábor Lugosi is affiliated with Pompeu Fabra University in Spain and has an extensive publication record primarily in the fields of Computer Science and Mathematics. With 47 publications related to Computer Science and 42 to Mathematics, their work spans multiple subfields and involves collaborations with various researchers.

Their subfields of study include Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Mathematical Physics, and Computational Theory and Mathematics. The scientist has contributed to main topics such as Statistical Methods and Inference, Stochastic Processes and Statistical Mechanics, Data Management and Algorithms, Advanced Bandit Algorithms Research, Advanced Graph Theory Research, Markov Chains and Monte Carlo Methods, and Bayesian Methods and Mixture Models.

Frequent publication venues for their work are:

  • arXiv (Cornell University)
  • Combinatorics Probability Computing
  • Bernoulli
  • The Annals of Applied Probability
  • UNC Libraries

Their notable recent papers include:

  • "Benign overfitting in linear regression" (2020) published in Proceedings of the National Academy of Sciences
  • "Multiplayer Bandits Without Observing Collision Information" (2021) published in Mathematics of Operations Research
  • "Robust multivariate mean estimation: The optimality of trimmed mean" (2021) published in The Annals of Statistics
  • "Community Detection in Partial Correlation Network Models" (2020) published in Journal of Business and Economic Statistics
  • "On the Hardness of Learning from Censored and Nonstationary Demand" (2023) published in INFORMS Journal on Optimization

The scientist's research collaborations include frequent co-authors:

  • Luc Devroye
  • Simon Briend
  • Roberto I. Oliveira
  • Nicolas Broutin
  • Louigi Addario-Berry

The breadth of their work shows engagement with multiple advanced topics in statistical inference, optimization, and algorithmic graph theory, reflecting a multidisciplinary approach to research in mathematical and computational sciences.

Best Publications

  • A Probabilistic Theory of Pattern Recognition

    Luc Devroye;László Györfi;Gábor Lugosi

  • Prediction, learning, and games

    Nicolo Cesa-Bianchi;Gabor Lugosi

  • Concentration Inequalities: A Nonasymptotic Theory of Independence

    Stéphane Boucheron;Gábor Lugosi;Pascal Massart

  • Combinatorial Methods in Density Estimation

    Luc Devroye;Gábor Lugosi

  • Theory of classification : a survey of some recent advances

    Stéphane Boucheron;Olivier Bousquet;Gábor Lugosi

  • Introduction to Statistical Learning Theory

    Olivier Bousquet;Stéphane Boucheron;Gábor Lugosi

  • Consistency of Random Forests and Other Averaging Classifiers

    Gérard Biau;Luc Devroye;Gábor Lugosi

  • Benign overfitting in linear regression

    Peter L. Bartlett;Philip M. Long;Gábor Lugosi;Alexander Tsigler

  • Model Selection and Error Estimation

    Peter L. Bartlett;Stéphane Boucheron;Gábor Lugosi

  • Combinatorial bandits

    Nicolò Cesa-Bianchi;GáBor Lugosi

  • Ranking and Empirical Minimization of U-statistics

    Stéphan Clémençon;Gábor Lugosi;Nicolas Vayatis

  • On the Strong Universal Consistency of Nearest Neighbor Regression Function Estimates

    Luc Devroye;Laszlo Gyorfi;Adam Krzyzak;Gabor Lugosi

  • On the Bayes-risk consistency of regularized boosting methods

    Gábor Lugosi;Nicolas Vayatis

  • Concentration inequalities using the entropy method

    Stéphane Boucheron;Gábor Lugosi;Pascal Massart

  • Bandits With Heavy Tail

    Sebastien Bubeck;Nicolo Cesa-Bianchi;Gabor Lugosi

  • A sharp concentration inequality with application

    Stéphane Boucheron;Gábor Lugosi;Pascal Massart

  • Learning pattern classification-a survey

    S.R. Kulkarni;G. Lugosi;S.S. Venkatesh

  • Consistency of Data-driven Histogram Methods for Density Estimation and Classification

    Gábor Lugosi;Andrew Nobel

  • Regret in Online Combinatorial Optimization

    Jean-Yves Audibert;Sébastien Bubeck;Gábor Lugosi

  • Proceedings of the 19th annual conference on Learning Theory

    Gábor Lugosi;Hans Ulrich Simon

  • Concentration inequalities : a non asymptotic theory of independence

    Stéphane Boucheron;Gabor Lugosi;Gabor Lugosi;Pascal Massart

Frequent Co-Authors

Luc Devroye
Luc Devroye McGill University
László Györfi
László Györfi Budapest University of Technology and Economics
Nicolò Cesa-Bianchi
Nicolò Cesa-Bianchi University of Milan
Tamas Linder
Tamas Linder Queen's University
Shahar Mendelson
Shahar Mendelson Texas A&M University
András György
András György New York University Abu Dhabi
Pascal Massart
Pascal Massart University of Paris-Saclay
Sébastien Bubeck
Sébastien Bubeck Microsoft (United States)
Kenneth Zeger
Kenneth Zeger University of California, San Diego
Peter L. Bartlett
Peter L. Bartlett University of California, Berkeley

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