BALÁZS CSANÁD CSÁJI
[Positions] [Degrees] [Interests] [Publications] [Visits] [Teaching] [Projects] [Awards] [Languages] [Programs] [Colleagues]
CURRENT POSITIONS |
Senior Research Fellow Room K317, Central Building Phone: (+36) 1-279-6231 | ARC DECRA Research Fellow Room 3.17, Engineering Building: 193 Phone: (+61) 3-8344-0498 |  |
EDUCATION AND DEGREES |
| Ph.D. in | Computer Science, Faculty of Informatics, Eötvös Loránd University (ELTE-IK), Budapest, Hungary, 2008 [pdf] |
| M.A. in | Philosophy, Faculty of Humanities, Eötvös Loránd University (ELTE-BTK), Budapest, Hungary, 2006 |
| M.Sc. in |
Computer Science & Mathematics*, Faculty of Science, Eötvös Loránd University (ELTE-TTK), Budapest, Hungary, 2001 |
|
* In Hungarian: "programtervező matematikus" |
FIELDS OF INTEREST |
Computer Science | Statistical Machine Learning, Resource Allocation, Networks |
Control Engineering | System Identification; Adaptive, Optimal and Robust Control |
Applied Mathematics | Probabilistic Models, Stochastic Approximation, Operations Research |
Analytic Philosophy | Philosophy of Science, Foundations of Mathematics, Logic |
SELECTED PUBLICATIONS |
System Identification: Non-Asymptotic- & Quantized
– Csáji, B. Cs.;
Campi, M. C.;
Weyer, E.:
Sign-Perturbed Sums (SPS): A
Method for Constructing Exact
Finite-Sample Confidence Regions
for General Linear Systems, 51st IEEE
Conference on Decision and
Control
(CDC
2012),
Maui, Hawaii, 2012, pp. 7321–7326
[pdf]
– Csáji, B. Cs.;
Campi, M. C.;
Weyer, E.:
Non-Asymptotic Confidence
Regions for the Least-Squares
Estimate, Proceedings of the
16th
IFAC
Symposium
on
System Identification (SYSID 2012),
Brussels, Belgium, July 11–13, 2012,
pp. 227–232
[pdf]
– Csáji, B. Cs.; Weyer, E.:
Recursive
Estimation of ARX Systems Using
Binary Sensors with Adjustable
Thresholds, Proceedings of the
16th
IFAC
Symposium
on
System Identification (SYSID 2012),
Brussels, Belgium, July 11–13, 2012,
pp. 1185–1190
[pdf]
–
Campi, M. C.;
Csáji, B. Cs.;
Garatti, S.; Weyer, E.:
Certified
System Identification: Towards
Distribution-Free Results,
Proceedings of the
16th IFAC
Symposium
on
System Identification (SYSID 2012),
Brussels, Belgium, July 11–13, 2012,
pp. 245–255
[pdf]
– Csáji, B. Cs.; Weyer, E.: System Identification with Binary Observations by Stochastic Approximation and Active Learning,
Proceedings of
the
50th IEEE
Conference on Decision and
Control
(CDC
2011) & European
Control Conference
(ECC),
Orlando, Florida, 2011
[pdf]
Machine Learning: Markov Decision Processes & Kernels
– Ivanov, T.; Csáji, B. Cs.: Reproducing Kernels Preserving Algebraic Structure: A Duality Approach, Proceedings of the 19th International
Symposium on Mathematical Theory of Networks and Systems (MTNS 2010), Budapest, Hungary, July 5–9, 2010, pp. 1161–1167 [pdf]
– Csáji, B. Cs.; Monostori, L.: Value Function Based Reinforcement Learning in Changing Markovian Environments,
Journal of Machine Learning Research (JMLR), MIT Press and Microtome Publishing, Vol. 9, 2008, 1679–1709 [link] [pdf]
– Csáji, B. Cs.; Küng, J.; Palkoska, J.; Wagner, R.: On the Automation of Similarity Information Maintenance in Flexible Query Answering
Systems; Proceedings of the 15th International Conference on Database and Expert Systems Applications (DEXA 2004), August 30–
September 3, Zaragoza, Spain, Lecture Notes in Computer Science (LNCS), Vol. 3180, Springer, 2004, pp. 130–140 [link]
Network Theory: PageRank Optimization & Complexity
– Csáji, B. Cs.; Browet, A.; Traag, V. A.; Delvenne, J-C.; Huens, E.; Van Dooren, P.; Smoreda, Z.; Blondel, V. D.: Exploring Mobility of
Mobile Phone Users, Physica A: Statistical Mechanics and its Applications, Elsevier, Vol. 392, Issue 6, 2013, 1459–1473 [link]
– Csáji, B. Cs.; Jungers, R. M.; Blondel, V. D.: PageRank Optimization by Edge Selection, Discrete Applied Mathematics (DAM),
Elsevier, 2012 [ accepted ]; manuscript: [arXiv]
– Csáji, B. Cs.; Jungers, R.M.; Blondel, V.D.: PageRank Optimization in Polynomial Time by Stochastic Shortest Path Reformulation,
Proceedings of the 21st International Conference on Algorithmic Learning Theory (ALT 2010), Lecture Notes in Computer Science
(LNCS), Vol. 6331, Springer, The Australian National University, Canberra, Australia, October 6–8, 2010, pp. 89–103 [link] [pdf]
– Csáji, B. Cs.; Monostori, L.: A Complexity Model for Networks of Collaborating Enterprises, Proceedings of the 17th World Congress
of the International Federation of Automatic Control (IFAC-WC 2008), July 6–11, Seoul, Korea, 2008, pp. 13833–13838 [pdf]
Resource Allocation: Adaptive- & Distributed Scheduling
– Csáji, B. Cs.; Monostori, L.: Adaptive Stochastic Resource Control: A Machine Learning Approach,
Journal of Artificial Intelligence Research (JAIR), AAAI Press, Vol. 32, 2008, 453–486 [link] [pdf]
– Csáji, B. Cs.; Monostori, L.; Kádár, B.: Reinforcement Learning in a Distributed Market-Based Production Control System,
Advanced Engineering Informatics (formerly: Journal of Artificial Intelligence in Engineering), Elsevier, Vol. 20, 2006, 279–288 [link]
– Csáji, B. Cs.; Monostori, L.: Adaptive Sampling Based Large-Scale Stochastic Resource Control, Proceedings of the
21st National Conference on Artificial Intelligence (AAAI 2006), July 16–20, Boston, Massachusetts, 2006, pp. 815–820 [pdf]
– Csáji, B. Cs.; Monostori, L.: Adaptive Algorithms in Distributed Resource Allocation, Proceedings of the 6th International Workshop on
Emergent Synthesis (IWES 2006), Kashiwa, The University of Tokyo, Japan, August 18–19, 2006. pp. 69–75 [pdf] Best Paper Award
Production Control: Optimization & Learning in Manufacturing
– Monostori, L.; Csáji, B. Cs.; Kádár, B.; Pfeiffer, A.; Ilie-Zudor, E.; Kemény, Zs.; Szathmári, M.: Towards Adaptive and Digital
Manufacturing, Annual Reviews in Control (ARC), Elsevier, Vol. 34, 2010, 118–128
– Kemény, Zs.; Csáji, B. Cs.; Viharos, Zs. J.: Optimization of Timing Parameters for Vision-Based Monitoring of Automated
Production Lines, International Journal of Factory Automation, Robotics and Soft Computing, 2009, 30–38
– Schuh, G.; Monostori, L.; Csáji, B. Cs.; Döring, S.: Complexity-Based Modeling of Reconfigurable Collaborations in Production Industry,
Annals of the CIRP: Manufacturing Technology, Elsevier, Vol. 57., No. 1, 2008, 445–450
– Monostori, L.; Csáji, B. Cs.: Stochastic Dynamic Production Control by Neurodynamic Programming,
Annals of the CIRP: Manufacturing Technology, Elsevier, Vol. 55, No. 1, 2006, 473–478
Philosophy of Science: Social Choice Theory & Logic
– Csáji, B. Cs.; Rédei, M.: On the Constraints of Rational Judgment Aggregation, Hungarian Philosophical Review, 2011 / 2, 97–121 [link]
– Csáji, B. Cs.: In Defense of the Symmetry of True and False; ISIS (International Society for the Interdisciplinary Study of Symmetry),
Proceedings of the 6th Interdisciplinary Symmetry Congress and Exhibition, October 22–29, Tihany, Hungary, 2004, pp. 46–49 [pdf]
More Information: Publication List (including information on impact factors, known independent citations and invited talks) [pdf]
BIBLIOMETRICS |
All publications: 46 | Independent citations*: 160+ | Cumulative impact factor: 14+ | Erdős number**: 3 |
Journal articles: 14 | Book chapters & LNCS/AI: 6 | Conference & workshop papers: 26 | Invited talks: 13 |
* Independent citation: none of the authors of the citing paper is an author of the cited paper | ** [proof] | ||
RESEARCH VISITS |
Long-term Visits | |
| 2009 – 2012 | Department of Electrical and Electronic Engineering, University of Melbourne, ARC Research Fellow, 3 years, Australia |
| 2008 – 2009 | Department of Mathematical Engineering, Catholic University of Louvain, Research Fellow, 8 months, Belgium |
| 2003 | Institute for Applied Knowledge Processing, Johannes Kepler University, CEEPUS Scholarship, 4 months, Austria |
| 2002 | Radical Multimedia Lab, BTexact Technologies, British Telecom, IAESTE Exchange Program, 3 months, United Kingdom |
| 2001 | Faculty of Mathematics and Computing Science, Technical University of Eindhoven, ERASMUS, 5 months, Netherlands |
Short-term Visits |
|
| 2012 | Department of Information Engineering, University of Brescia, Italy |
| 2012 | Faculty of Electrical Engineering, Computer Science, and Mathematics, University of Paderborn, Germany |
| 2009 | Department of Electrical Engineering and Computer Science, University of Ličge, Belgium |
| 2009 | Robot Learning Group, Dalle Molle Institute for Artificial Intelligence (IDSIA), University of Lugano, Switzerland |
| 2008 | Institute of Perception, Action and Behaviour, School of Informatics, University of Edinburgh, United Kingdom |
| 2008 | Gatsby Computational and Theoretical Neuroscience and Machine Learning Unit, University College London, UK |
2007 | Alberta Ingenuity Center for Machine Learning, Department of Computing Science, University of Alberta, Canada |
TEACHING AND PRESENTATIONS |
Teaching Activity | |
| 2012 Sem1 | Probability and Random Models (ELEN90054, with Girish Nair), School of Engineering, University of Melbourne, Australia |
| 2005 – 2006 | Reinforcement Learning (organized by Cs. Szepesvári), Computer and Automation Research Institute (SZTAKI), Hungary |
| 2002 | Theory of Operating Systems, Department of Information Systems, Eötvös Loránd University (ELTE), Budapest, Hungary |
2000 – 2002 | Programming Methodology, Department of Software Technology, Eötvös Loránd University (ELTE), Budapest, Hungary |
Slides and Posters | |
| 2012 | Distribution-Free System Identification: Exact-, Non-Asymptotic Confidence Regions, Faculty of Electrical Engineering, Computer Science, and Mathematics, University of Paderborn, Germany, 16 July 2012 [pdf] |
| 2010 | Introduction to Markov Decision Processes, Department of Electrical Engineering, University of Melbourne, Australia [pdf] |
| 2010 | PageRank Optimization in Polynomial Time by Stochastic Shortest Path Reformulation, 21st International Conference on Algorithmic Learning Theory (ALT), The Australian National University (ANU), Canberra, Australia [pdf] |
| 2009 | A Machine Learning Approach to Stochastic Resource Control, Poster, DYSCO Study Day, Mons, Belgium [pdf] |
| 2008 | Learning in Changing Environments: Reinforcement Learning in Environments with Asymptotically Bounded Variation, University College London (UCL), London, United Kingdom [pdf] |
| 2006 | Introduction to Off-Policy Learning, RL Seminar, SZTAKI, Budapest, Hungary [pdf] |
2005 | Introduction to Temporal Difference Learning (Hungarian Slides), RL Seminar, SZTAKI, Budapest, Hungary [pdf] |
2004 | Intuitionism in Mathematics (Philosophy of Mathematics), HalSzem, ELTE, Budapest, Hungary [pdf] Handout [pdf] |
PROJECT PARTICIPATIONS |
European Projects | |
| 2005 – 2009 | Coll-Plexity: Collaborations as Complex Systems (Internal Project Leader), Nest Program, 6th Framework, EU |
| 2004 – 2006 | MultiSens: Cameras as Multifunctional Sensors for Automated Processes, 6th Framework, EU |
2000 – 2004 | MPA: Modular Plant Architecture, 5th Framework, EU |
National Projects | |
| 2011 – 2012 | Distribution-Free System Identification (Principal Investigator), ARC, Australia |
| 2009 – 2011 | Algorithms for Change Detection Based on Finite Sample System Identification Theory, ARC, Australia |
| 2008 – 2010 | Production Structures as Complex Adaptive Systems, OTKA, Hungary |
| 2004 – 2007 | VITAL: Real-Time, Cooperative Enterprises, NKFP, Hungary |
| 2005 – 2007 | Modeling, Planning and Control of Distributed, Modular Production Structures, OTKA, Hungary |
University Projects | |
| 2009 | Data Mining in Mobile Networks, Department of Mathematical Engineering, Catholic University of Louvain, Belgium |
| 2003 | Learning and Maintaining Similarity Information in Flexible Query Answering Systems, Johannes Kepler University, Austria |
| 2002 | Physics Engine for the TARA Graphical Library, Radical Multimedia Lab, British Telecom, United Kingdom |
2001 | Constructive Approximation with Feed-forward Artificial Neural Networks, Technical University of Eindhoven, Netherlands |
2000 | Augmented Reality for Parkinson Patients, Eötvös Loránd University and Semmelweis University, Hungary |
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LANGUAGE SKILLS | |||||||||||||||||||||||||||||||||||
Hungarian | fluent; mother tongue |
English | fluent; CEFR Level: C1, Certificate in Advanced English (CAE), British Council |
German | good; CEFR Level: C1, Zentrale Mittelstufenprüfung (ZMP), Goethe Institute |
PROGRAM DEVELOPMENT |
2000 – 2002 | Pandora 0.44, Chess Program, C++, Visual Studio, Windows, 32 bit, Freeware [zip] |
2000 | Demonstration Program: OCR with Multilayer Perceptrons, Delphi, Windows, 32 bit, Freeware [zip] |
COLLEAGUES |
BALÁZS CSANÁD CSÁJI
[Last Updated: January 7, 2013]