Balázs Csanád Csáji

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Balázs Csanád Csáji, a Hungarian computer scientist, senior researcher at MTA SZTAKI: Institute for Computer Science and Control, Hungarian Academy of Sciences, and before, from 2009 until 2012, at University of Melbourne. He holds a M.Sc. in computer science and mathematics in 2001, and a M.A. in Philosophy in 2006, both from Eötvös Loránd University, Budapest, and a Ph.D. in 2008 from Budapest University of Technology and Economics. His research interests include statistical machine learning, probabilistic models, stochastic approximation, philosophy of science, foundations of mathematics and logic, and operations research.

=Computer Chess= In the early 2000s, Balázs Csanád Csáji developed the chess program Pandora, which competed at the MASPV 2001 and MASPV 2002 Hungarian Chessprogram Open.

=Photos= MASPV 2002, Pandora - Hector, Gyula Horváth, Balázs Csanád Csáji, Csaba Jergler, László Lindner

=Selected Publications=

2000 ...

 * Balázs Csanád Csáji, Botond Kádár, László Monostori (2003). Improving Multi-agent Based Scheduling by Neurodynamic Programming. HoloMAS 2003
 * Balázs Csanád Csáji (2004). In Defense of the Symmetry of True and False. Symmetry Congress and Exhibition, Tihany, pdf
 * Balázs Csanád Csáji (2008). Adaptive Resource Control: Machine Learning Approaches to Resource Allocation in Uncertain and Changing Environments. Ph.D. thesis, Budapest University of Technology and Economics
 * Balázs Csanád Csáji, László Monostori (2008, 2014). Adaptive stochastic resource control: a machine learning approach. Journal of Artificial Intelligence Research, Vol. 32, arXiv:1401.3434
 * Balázs Csanád Csáji, László Monostori (2008). Value function based reinforcement learning in changing Markovian environments. Journal of Machine Learning Research, Vol. 9, pdf

2010 ...

 * Balázs Csanád Csáji, Raphaël M. Jungers, Vincent D. Blondel (2010). PageRank Optimization in Polynomial Time by Stochastic Shortest Path Reformulation. ALT 2010
 * Balázs Csanád Csáji, Erik Weyer (2011). System identification with binary observations by stochastic approximation and active learning. CDC-ECE 2011
 * Balázs Csanád Csáji, Raphaël M. Jungers, Vincent D. Blondel (2012). PageRank Optimization by Edge Selection. arXiv:0911.2280
 * Balázs Csanád Csáji, Arnaud Browet, Vincent A. Traag, Jean-Charles Delvenne, Etienne Huens, Paul Van Dooren, Zbigniew Smoreda, Vincent D. Blondel (2012). Exploring the Mobility of Mobile Phone Users. arXiv:1211.6014
 * Balázs Csanád Csáji (2018). Score Permutation Based Finite Sample Inference for Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) Models. arXiv:1807.08390
 * Balázs Csanád Csáji, Ambrus Tamás (2019). Semi-Parametric Uncertainty Bounds for Binary Classification. arXiv:1903.09790

=External Links=
 * Balázs Csanád Csáji's Homepage
 * Balázs Csanád Csáji | LinkedIn

=References= Up one level