PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Andras Gyorgy

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Number of EPrints submitted by this user: 20

Tracking the Best Quantizer
Andras Gyorgy, Tamas Linder and Gábor Lugosi
IEEE Transactions on Information Theory Volume 54, Number 4, pp. 1604-1625, 2008.

On-line sequential bin packing
Andras Gyorgy, Gábor Lugosi and Gyorgy Ottucsak
In: 21st Annual Conference on Learning Theory (COLT 2008), 9-12 July 1999, Helsinki, Finland.

Efficient tracking of the best of many experts
Andras Gyorgy, Tamas Linder and Gábor Lugosi
In: Information and Communication Conference, 25-28 August 2008, Budapest, Hungary.

On-Line Sequential Bin Packing
Andras Gyorgy, Gábor Lugosi and Gyorgy Ottucsak
Journal of Machine Learning Research Volume 11, pp. 89-109, 2010. ISSN 1533-7928

Efficient Multi-start Strategies for Local Search Algorithms
Levente Kocsis and Andras Gyorgy
In: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases , ECML PKDD 2009, Part I Lecture Notes in Computer Science , LNAI 5781/2009 . (2009) Springer , Berlin/Heidelberg, Germany , pp. 705-720. ISBN 978-3-642-04179-2

A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping
Péter Torma, Andras Gyorgy and Csaba Szepesvari
In: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010) JMLR Workshop and Conference Proceedings Series , 9 . (2010) Journal of Machine Learning Research , pp. 852-859.

Fraud Detection by Generating Positive Samples for Classification from Unlabeled Data
Levente Kocsis and Andras Gyorgy
In: ICML 2010 Workshop on Machine Learning and Games, 25 June 2010, Haifa, Israel.

The Online Loop-free Stochastic Shortest-Path Problem
Gergely Neu, Andras Gyorgy and Csaba Szepesvari
In: Proceedings of the 23rd Annual Conference on Learning Theory (2010) OmniPress , pp. 231-243.

Consistent Nonparametric Tests of Independence
Arthur Gretton and Laszlo Gyorfi
Journal of Machine Learning Research Volume 11, pp. 1391-1423, 2010. ISSN 1533-7928

On the Rate of Convergence of the St. Petersburg Game.
Laszlo Gyorfi and Péter Kevei
Periodica Mathematica Hungarica Volume 62, DOI: 10.1007/s10998-011-5013-3, Number 1, pp. 13-37, 2011.

Online Markov Decision Processes under Bandit Feedback
Gergely Neu, Andras Gyorgy, Csaba Szepesvari and András Antos
In: Advances in Neural Information Processing Systems 23 (2010) Neural Information Processing Systems (NIPS) Foundation , pp. 1804-1812.

Efficient Multi-Start Strategies for Local Search Algorithms
Andras Gyorgy and Levente Kocsis
Journal of Artificial Intelligence Research Volume 41, pp. 407-444, 2011.

High-dimensional random geometric graphs and their clique number
Luc Devroye, Andras Gyorgy, Gábor Lugosi and Frederic Udina
Electronic Journal of Probability Volume 16, pp. 2481-2508, 2011.

Early Identification of Peer-To-Peer Traffic
Béla Hullár, Sándor Laki and Andras Gyorgy
In: 2011 IEEE International Conference on Communications (ICC), 5-9 June 2011, Kyoto, Japan.

Near-optimal rates for limited-delay universal lossy source coding
Andras Gyorgy and Gergely Neu
In: 2011 IEEE International Symposium on Information Theory (ISIT), 31 July - 5 Aug. 2011, St. Petersburg, Russia.

The Adversarial Stochastic Shortest Path Problem with Unknown Transition Probabilities
Gergely Neu, Andras Gyorgy and Csaba Szepesvari
In: Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS), 21-23 April, 2012, La Palma, Canary Islands, Spain.

Efficient Tracking of Large Classes of Experts
Andras Gyorgy, Tamas Linder and Gábor Lugosi
IEEE Transactions on Information Theory Volume 58, Number 11, pp. 6709-6725, 2012.

Near-optimal rates for limited-delay universal lossy source coding
Andras Gyorgy and Gergely Neu
In: 2011 IEEE International Symposium on Information Theory (ISIT), 31 July - 5 Aug. 2011, St. Petersburg, Russia.

BoostingTree: Parallel Selection of Weak Learners in Boosting, with Application to Ranking
Levente Kocsis, Andras Gyorgy and Andrea N. Bán
Machine Learning 2013.

Efficient tracking of large classes of experts
Andras Gyorgy, Tamas Linder and Gábor Lugosi
In: IEEE International Symposium on Information Theory (ISIT), 1-6 July 2012, Cambridge, MA, USA.