László Györfi

Professor, Department of Computer Science and Information Theory, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics

Professional profile

Prof. László Györfi is a Professor in the Department of Computer Science and Information Theory at the Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics (BME). He is a Full Member of the Hungarian Academy of Sciences.

Throughout his distinguished career, Professor Györfi has made significant contributions to information theory and machine learning, with numerous publications in reputable journals and conferences. His research interests include nonparametric density, regression, and entropy estimation, pattern recognition, time series forecasting, multiple access communication, source coding, and empirical portfolio selection.

He has co-authored several influential books, including Recursive Source Coding: A Theory for the Practice of Waveform Coding (Springer, 2001) and A Distribution-Free Theory of Nonparametric Regression (Springer, 2002).