Publications by Szepesvari, Csaba
In Journal (refereed)
| 1. | A. Afkanpour, C. Szepesvari, M. Bowling. "Alignment based kernel learning with a continuous set of base kernels". Machine Learning, 91, pp 305–324, May 2013.   |
| 2. | A. Antos, C. Szepesvari, R. Munos. "Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path". Machine Learning Journal (MLJ), June 2007. |
| 3. | R. Munos, C. Szepesvari. "Finite Time Bounds for Sampling Based Fitted Value Iteration". Journal of Machine Learning Research (JMLR), March 2007. |
| 4. | P. Torma, C. Szepesvari. "Local Importance Sampling: A Novel Technique to Enhance Particle Filtering". Journal of Multimedia (JMM), 1, pp 32-43, January 2006. |
| 5. | L. Kocsis, C. Szepesvari. "Universal Parameter Optimisation in Games Based on SPSA". Machine Learning Journal (MLJ), 63, pp 249-286, January 2006. |
In Conference (refereed)
| 6. | M. Karami, M. White, D. Schuurmans, C. Szepesvari. "Multi-view Matrix Factorization for Linear Dynamical System Estimation". NIPS Workshop on Machine Learning and Games, (ed: Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, Roman Garnett), pp 7092-7101, December 2017. |
| 7. | R. Huang, M. Ajallooeian, C. Szepesvari, M. Müller. "Structured Best Arm Identification with Fixed Confidence". Algorithmic Learning Theory (ALT), (ed: Steve Hanneke, Lev Reyzin), pp 593-616, October 2017. |
| 8. | N. Bard, D. Nicholas, C. Szepesvari, M. Bowling. "Decision-theoretic clustering of strategies". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (ed: Gerhard Weiss, Pinar Yolum, Rafael H. Bordini, Edith Elkind), pp 17-25, May 2015. |
| 9. | J. Neufeld, A. Gyorgy, C. Szepesvari, D. Schuurmans. "Adaptive Monte Carlo via bandit allocation". International Conference on Machine Learning (ICML), (ed: Eric P. Xing, Tony Jebara), pp 1944-1952, June 2014. |
| 10. | N. Zolghadr, G. Bartok, R. Greiner, C. Szepesvari, A. Gyorgy. "Online Learning with Costly Features and Labels". Neural Information Processing Systems (NIPS), (ed: Christopher J. C. Burges, Léon Bottou, Zoubin Ghahramani, Kilian Q. Weinberger), pp 1241-1249, December 2013. |
| 11. | A. Afkanpour, A. Gyorgy, C. Szepesvari, M. Bowling. "A randomized mirror descent algorithm for large scale multiple kernel learning". International Conference on Machine Learning (ICML), pp 374–382, June 2013. |
| 12. | Y. Yu, H. Cheng, D. Schuurmans, C. Szepesvari. "Characterizing the representer theorem". International Conference on Machine Learning (ICML), (ed: Sanjoy Dasgupta, David McAllester), pp 570-578, June 2013. |
| 13. | L. Li, B. Poczos, C. Szepesvari, R. Greiner. "Budgeted Distribution Learning of Belief Net Parameters". International Conference on Machine Learning (ICML), June 2010. |
| 14. | L. Li, B. Poczos, C. Szepesvari, R. Greiner. "Budgeted Distribution Learning in Parametric Models". International Conference on Machine Learning (ICML), April 2010. |
| 15. | Y. Yu, Y. Li, C. Szepesvari, D. Schuurmans. "A general projection property for distribution families". Neural Information Processing Systems (NIPS), December 2009. |
| 16. | A. Farhangfar, R. Greiner, C. Szepesvari. " Learning to Segment from a Few Well-Selected Training Images". International Conference on Machine Learning (ICML), June 2009. |
| 17. | B. Poczos, Y. Abbasi-Yadkori, C. Szepesvari, R. Greiner, N. Sturtevant. "Learning when to stop thinking and do something!". International Conference on Machine Learning (ICML), June 2009. |
| 18. | A. Farahmand, A. Shademan, M. Jagersand, C. Szepesvari. "Model-based and model-free reinforcement learning for visual servoing". IEEE International Conference on Robotics and Automation (ICRA), pp 2917-2924, May 2009. |
| 19. | Y. Li, C. Szepesvari, D. Schuurmans. "Learning exercise policies for American options". Artificial Intelligence and Statistics, April 2009. |
| 20. | A. Isaza, C. Szepesvari, R. Greiner, V. Bulitko. "Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstractions". Conference on Uncertainty in Artificial Intelligence (UAI), pp 306--314, July 2008. |
| 21. | J. Audibert, R. Munos, C. Szepesvari. "Tuning bandit algorithms in stochastic environments". Algorithmic Learning Theory (ALT), October 2007. |
| 22. | G. Neu, C. Szepesvari. " Apprenticeship Learning using Inverse Reinforcement Learning and Gradient Methods". Conference on Uncertainty in Artificial Intelligence (UAI), pp 295-302, July 2007. |
| 23. | A. Antos, C. Szepesvari, R. Munos. "Value-Iteration Based Fitted Policy Iteration: Learning with a Single Trajectory". Symposium on Approximate Dynamic Programming and Reinforcement Learning, pp 330-337, April 2007. |
| 24. | P. Auer, R. Ortner, C. Szepesvari. "Improved Rates for the Stochastic Continuum-Armed Bandit Problem". Conference on Learning Theory (COLT), San Diego, CA, March 2007. |
| 25. | A. Farahmand, J. Audibert, C. Szepesvari. "Manifold-Adaptive Dimension Estimation". International Conference on Machine Learning (ICML), March 2007. |
| 26. | I. Biro, Z. Szamonek, C. Szepesvari. "Sequence prediction exploiting similarity information". International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, March 2007. |
| 27. | A. Gyorgy, L. Kocsis, I. Szabo, C. Szepesvari. "Continuous Time Associative Bandit Problems". International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, January 2007. |
| 28. | L. Kocsis, C. Szepesvari. "Bandit Based Monte-Carlo Planning". European Conference on Machine Learning (ECML), Berlin, Germany, pp 282-293, September 2006. |
| 29. | A. Antos, C. Szepesvari, R. Munos. "Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path". Conference on Learning Theory (COLT), January 2006. |
| 30. | C. Szepesvari, R. Munos. "Finite Time Bounds for Sampling Based Fitted Value Iteration". International Conference on Machine Learning (ICML), Bonn, Germany, pp 881-886, January 2005. |
| 31. | L. Gerencser, M. Rasonyi, Z. Vago, C. Szepesvari. "Log-optimal currency portfolios and control Lyapunov exponents". IEEE, pp 1764-1769, January 2005. |
| 32. | L. Kocsis, C. Szepesvari. "Reduced-Variance Payoff Estimation in Adversarial Bandit Problems". European Conference on Machine Learning (ECML), Porto, Portugal, January 2005. |
| 33. | P. Torma, C. Szepesvari. "Enhancing Particle Filters using Local Likelihood Sampling". European Conference on Computer Vision (ECCV), Prague, Czech Republic, January 2004. |
| 34. | C. Szepesvari, W. Smart. "Interpolation-based Q-learning". International Conference on Machine Learning (ICML), pp 791-798, January 2004. |
| 35. | A. Kocsor, K. Kovacs, C. Szepesvari. "Margin Maximizing Discriminant Analysis". European Conference on Machine Learning (ECML), Pisa, Italy, January 2004. |
| 36. | C. Szepesvari. "Shortest Path Discovery Problems: A Framework, Algorithms and Experimental Results". National Conference on Artificial Intelligence (AAAI), San Jose, California, USA, pp 550-555, January 2004. |
| 37. | P. Torma, C. Szepesvari. "Combining Local Search, Neural Networks and Particle Filters to Achieve Fast and Reliable Contour Tracking". IEEE, January 2003. |
| 38. | P. Torma, C. Szepesvari. "Sequential Importance Sampling for Visual Tracking Reconsidered". International Workshop on Artificial Intelligence and Statistics (AISTATS), pp 271-278, January 2003. |
| 39. | P. Torma, C. Szepesvari. "Towards Facial Pose Tracking". Hungarian Computer Graphics and Geometry Conference, pp 10-16, January 2002. |
Other Categories
| 40. | A. Farahmand, C. Szepesvari, J. Audibert. "Towards Manifold-Adaptive Learning". Workshop on Topology Learning, December 2007. |
| 41. | P. Torma, C. Szepesvari. "On using Likelihood-adjusted Proposals in Particle Filtering: Local Importance Sampling". Symposium on Image and Signal Processing and Analysis, January 2005. |
| 42. | L. Kocsis, C. Szepesvari, M. Winands. "RSPSA: Enhanced Parameter Optimisation in Games". Advances in Computer Games (ACG), January 2005. |
