PUBLICATIONS OF ANDRÁS GYÖRGY

Journal papers:

• A. György, G. Lugosi, and Gy. Ottucsák, "On-Line Sequential Bin Packing," Journal of Machine Learning Research, vol. 11, pp. 89-109, 2010. Pdf

• A. György, T. Linder, and G. Lugosi, "Tracking the Best Quantizer," IEEE Transactions on Information Theory, vol. 54, pp. 1604-1625, April 2008. Pdf

• A. György, T. Linder, G. Lugosi, and Gy. Ottucsák, "The On-Line Shortest Path Problem Under Partial Monitoring," Journal of Machine Learning Research, vol. 8, pp. 2369-2403, 2007. Pdf

• D. A. Nagy, A. György, and T. Linder, "Symbol-Based Modeling and Coding of Block Markov Sources," IEEE Transactions on Information Theory, vol. 52, pp. 5570-5578, December 2006. Pdf

• A. György and Gy. Ottucsák , "Adaptive Routing Using Expert Advice," The Computer Journal, vol. 49, pp. 180-189, March 2006.

• A. Antos, L. Györfi, and A. György, "Individual Convergence Rates in Empirical Vector Quantizer Design," IEEE Transactions on Information Theory, vol. 51, pp. 4013-4022, November 2005. Pdf

• A. György, T. Linder, and G. Lugosi, "Efficient Adaptive Algorithms and Minimax Bounds for Zero-Delay Lossy Source Coding," IEEE Transactions on Signal Processing, vol. 52, pp. 2337-2347, August 2004. Pdf

• A. Farkas, A. György, and P. Rózsa, "On the Spectrum of Pairwise Comparison Matrices," Linear Algebra and Its Applications, vol 385, pp. 443-462, July 2004.

• A. György, T. Linder, P. A. Chou, and B. J. Betts, "Do Optimal Entropy-Constrained Quantizers have a Finite or Infinite Number of Codewords?," IEEE Transactions on Information Theory, vol. IT-49, pp. 3031-3037, Nov. 2003. Pdf
  

• A. György and T. Linder, "Codecell Convexity in Optimal Entropy-Constrained Vector Quantization," IEEE Transactions on Information Theory, vol. IT-49, pp. 1821-1828, July 2003. Pdf

• A. György and T. Linder, "On the Structure of Optimal Entropy-Constrained Scalar Quantizers," IEEE Transactions on Information Theory, vol. IT-48, pp. 416-427, February 2002. Pdf

• A. György and T. Linder, "Optimal Entropy-Constrained Scalar Quantization of a Uniform Source," IEEE Transactions on Information Theory, vol. IT-46, pp. 2704-2711, November 2000. Pdf

• A. György, T. Linder, and K. Zeger, "On the Rate-Distortion Function of Random Vectors and Stationary Sources with Mixed Distributions," IEEE Transactions on Information Theory, vol. IT-45, pp. 2110-2115, September 1999. Pdf

Refereed conference papers:

• L. Kocsis and A. György, "Efficient multi-start strategies for local search algorithms," European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009), Bled, Slovenia, September 2009. Springer Lecture Notes in Computer Science 5781, pp. 705-720.

• A. György, G. Lugosi, and Gy. Ottucsák, "On-Line Sequential Bin Packing," 21st Annual Conference on Learning Theory, COLT 2008, Helsinki, Finland,pp. 447-454, July 9-12, 2008.

• A. György, L. Kocsis, I. Szabó, and Cs. Szepesvári, "Continuous Time Associative Bandit Problems," 2007 International Joint Conference on Artificial Intelligence, Hyderabad, India, January 2007, pp. 830-835. pdf

• A. György, T. Linder, and Gy. Ottucsák ,"The Shortest Path Problem Under Partial Monitoring," 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, pp. 468-482, June 22-25, 2006.

• A. György, T. Linder, and G. Lugosi, "The Shortest Path Problem in the Bandit Setting," 2006 IEEE Information Theory Workshop, Punta del Este, Uruguay, pp. 87-91, March 13-17, 2006.

• A. György, T. Linder, and G. Lugosi, "Limited-Delay Coding of Individual Sequences with Piecewise Different Behavior," 44th IEEE Conference on Decision and Control and European Control Conference, Sevilla, Spain, pp. 8185-8190, December 12-15, 2005.

• A. György, T. Linder, and G. Lugosi, "Tracking the Best Quantizer," 2005 IEEE International Symposium on Information Theory , Adelaide, Australia, pp. 1163-1167, September 4-9, 2005.

• A. György, T. Linder, and G. Lugosi, "Tracking the Best of Many Experts,'' 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, pp. 204-216, June 27-30, 2005.

• D. A. Nagy, A. György, and T. Linder, "Convergence Rates in Higher Order Markov Modeling of Block-Markov Sources," Canadian Workshop on Information Theory, Montreal, Quebeck, Canada, pp. 111-114, June 5-8, 2005.

• A. Antos, L. Györfi, and A. György, "Improved Convergence Rates in Empirical Vector Quantizer Design," 2004 IEEE International Symposium on Information Theory, Chicago, IL, USA, p. 300, June 27-July 2, 2004.

• A. György, T. Linder, and G. Lugosi, "Efficient Algorithms and Minimax Bounds for Zero-Delay Lossy Source Coding," 2004 IEEE International Symposium on Information Theory, Chicago, IL, USA, p. 463, June 27-July 2, 2004.

• A. György, T. Linder, and G. Lugosi, "A "Follow the Perturbed Leader"-type Algorithm for Zero-Delay Quantization of Induvidual Sequences," Data Compression Conference, Snowbird, UT, pp. 342-351, March 23-25, 2004. PostScript

• A. György and T. Linder, "Codecell Convexity in Optimal Entropy-Constrained Vector Quantization," 2003 IEEE International Symposium on Information Theory, Yokohama, Japan, p. 460, June 29-July 4, 2003.

• A. György and T. Linder, "A Note on the Existence of Optimal Entropy-Constrained Vector Quantizers," 2002 IEEE International Symposium on Information Theory, Lausanne, Switzerland, p. 37, June 30-July 5, 2002.

• A. György and T. Borsos, "Estimates on the Packet Loss Ratio via Queue Tail Probabilities," IEEE 2001 Global Telecommunications Conference (GlobeCom'01), San Antonio, TX, USA, pp. 2407-2411, November 25-29, 2001. Pdf

• T. Borsos, L. Györfi, and A. György, "On the Second Order Characterization in Traffic Modeling," 9th IFIP Working Conference on Performance Modeling and Evaluation of ATM and IP Networks, Budapest, Hungary, pp. 41-49, June 27-29, 2001. PostScript

• A. György and T. Linder, "On the Structure of Entropy-Constrained Scalar Quantizers," 2001 IEEE International Symposium on Information Theory, Washington, D.C., USA, p. 29, June 24-29, 2001.

• A. György and T. Borsos, "Admission Control for Variable Bit Rate Video Traffic," High Speed Networking 2001 Spring Workshop, Balatonfüred, Hungary, pp. 63-69, May 2-5, 2001.

• A. György and T. Linder, "Optimal Entropy-Constrained Scalar Quantization of a Uniform Source," 2000 International Symposium on Information Theory and Its Applications, Honolulu, HI, USA, pp. 85-88, November 5-8, 2000.

• A. György, T. Linder, and K. Zeger, "On the Rate-Distortion Function of Random Vectors and Stationary Sources with Mixed Distributions," 6th Canadian Workshop on Information Theory, Kingston, Ont, Canada, pp. 52-55, June 15-18, 1999.

• A. György, T. Linder, and K. Zeger, "Lossy Coding of Sources with Mixed Distribution," 33rd Conference on Information Sciences and Systems, Baltimore, MD, USA, pp. 619-623, March 17-19, 1999.

Theses:

• A. György, "Entropy-Constrained Quantization and Related problems," Ph.D. Thesis, Department of Computer Science and Information Theory, Budapest University of Technology and Economics, Budapest, Hungary, January 2003.
• A. György, "On Optimal Entropy-Constrained Quantization," M.Sc. Thesis, Department of Mathematics and Statistics, Queen's University, Kingston, Canada, December 2001.
• A. György, "An Analysis of Measurement Based Call Admissin Control Algorithms," M.Sc. Thesis, Department of Computer Science and Information Theory, Technical University of Budapest, Budapest, Hungary, June 1999.