András Antos' CV


Degrees:

Ph.D. in Informatics, Technical Sciences, March 2000, Technical University of Budapest, Budapest, (thesis: Performance limits of nonparametric estimators), adviser: László Györfi. Theses.

M.Sc. in Electrical Engineering, June 1995, Technical University of Budapest, Budapest, (thesis: Függvényosztályok tulajdonságai és szerepe az alakfelismerésben (Properties of classes of functions and their roles in pattern recognition)), advisor: Gábor Lugosi.

Professional experience:

Research:
Publications

Teaching experience:
Lecturer: Department of Computer Science and Information Theory, Technical University of Budapest, Budapest (Sept 1997 - Feb 1999, Sept 2003 - Feb 2007)
Teaching assistant: Department of Computer Science and Information Theory, Technical University of Budapest, Budapest (Sept 1995 - June 1998)
Committee member in PhD defenses: University of Szeged, 2009, Eötvös Loránd University of Science, 2008, Budapest University of Technology and Economics, 2006.

Visiting positions:

Education:

1995-98: Ph.D. student at Department of Computer Science and Information Theory, Faculty of Electrical Engineering and Informatics, Technical University of Budapest, Budapest
Topic: Nonparametric statistics

1990-95: Department of Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Budapest, Budapest

1992-94: Department of Mathematics, Faculty of Natural Sciences, Eötvös Loránd University of Science, Budapest

Service, Reviewing, Membership:
  Senior Program Committee Member
2015 Algorithmic Learning Theory Conference
2014 Algorithmic Learning Theory Conference
2014 27th Annual Conference on Learning Theory
2013 Algorithmic Learning Theory Conference
2012 Algorithmic Learning Theory Conference
  Referee of
    conference papers:
Ann. Conf. on Neural Information Processing Systems, 2011 (3 papers), 2010 (3 papers), 2009 (4 papers).
Int. Conf. on Algorithmic Learning Theory, 2011.
IEEE International Symposium on Information Theory, 2011, 2009, 2008, 2002 (2 papers).
Software Seminar (SOFSEM'08), 2007.
    journal papers:
Annals of Statistics, 2014, 2013.
Theoretical Computer Science, 2012-14.
IEEE Trans. on Information Theory, 2011 (2 papers), 2010, 2006, 2005, 2003, and 2000.
Handbook of Information and Coding Theory, 2008.
Statistics & Decisions, 2007.
Machine Learning Journal, 2007.
Ann. of the Institute of Statistical Mathematics, 2004.
IEEE Trans. on Pattern Analysis and Machine Intelligence, 2003.
    theses:
a PhD at University of Szeged, 2008.
a PhD at Eötvös Loránd University of Science, 2006.
an MSc at Budapest University of Technology and Economics, 2004.

Participation in proofreading the textbooks below:
N. Cesa-Bianchi, G. Lugosi. Prediction, Learning, and Games, Cambridge University Press, 2006. (2005)
L. Györfi, ed. Principles of Nonparametric Learning, Springer-Verlag, Wien, New York, 2002. (2001) Book cover
L. Györfi, M. Kohler, A. Krzyzak, H. Walk. A Distribution-Free Theory of Nonparametric Regression, Springer-Verlag, New York, 2002. (2001) Book cover
L. Devroye, L. Györfi, G. Lugosi. A Probabilistic Theory of Pattern Recognition, Springer-Verlag, New York, 1996. Errata. (1994-95) Book cover
  Associations, Societies, Boards, Bodies, Networks
Member of Pascal2 Network
Member of HAS Public Body, Committee on Information Science
Member of the John von Neumann Computer Society (intermitted)

Awards:

Computer related skills:
Operating systems: Unix (Linux), Windows, MS DOS, Android
Programming languages: R, Pascal, dBase, ix86 and Z80 Assembly, Basic
Basic experience in TCP/IP networking, Matlab, Shell, Sed, Awk, Python, C, Version control, Bug & Issue tracking, Html, Wiki, Gimp

Language:
Fluent in English, basic level in Spanish

Publications

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Updated: Feb 7, 2021
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