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.
Contents
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 [2]
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 [4]
- 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 [5]
- Balázs Csanád Csáji, Ambrus Tamás (2019). Semi-Parametric Uncertainty Bounds for Binary Classification. arXiv:1903.09790
