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Gábor Lugosi,
a Hungarian electrical engineer, computer scientist, mathematician, and ICREA research professor at department of economics, Pompeu Fabra University in Barcelona, Catalonia, Spain [1]. He holds a Ph.D. in 1992 from Hungarian Academy of Sciences on pattern recognition [2]. His research interests include pattern classification, nonparametric statistics, computational learning theory, inequalities in probability [3], learning in repeated games, and bandit problems. Along with Nicolò Cesa-Bianchi, he authored Prediction, Learning, and Games in 2006 [4].
Gábor Lugosi [5]

Selected Publications


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1990 ...

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2010 ...

External Links


  1. ^ Gábor Lugosi - CV (pdf)
  2. ^ Gábor Lugosi (1991). Statistical Pattern Recognition Under Unreliable Circumstances. Ph.D. thesis, EE, Hungarian Academy of Sciences
  3. ^ Azuma's inequality, Bennett's inequality, Bernstein inequalities,Chebyshev's inequality, Chernoff bound, Concentration inequality, Dvoretzky–Kiefer–Wolfowitz inequality, Hoeffding's inequality, Hoeffding's lemma, Khintchine inequality, Markov's inequality
  4. ^ Nicolò Cesa-Bianchi, Gábor Lugosi (2006). Prediction, Learning, and Games. Cambridge University Press
    "...beware of mathematicians, and all those who make empty prophecies. The danger already exists that the mathematicians have made a covenant with the devil to darken the spirit and to confine man in the bonds of Hell". St. Augustine, De Genesi ad Litteram libri duodecim. Liber Secundus, 17, 37.
  5. ^ Photo by Ivonne Vetter at Mini-Workshop: Mathematics of Machine Learning: 2011-08-21 - 2011-08-26, from MF Oberwolfach, Details for Gabor Lugosi, Oberwolfach Photo Collection
  6. ^ dblp: Gábor Lugosi

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