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All publications by Csaba Szepesvari
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On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments
Yifan Wu, Andras Gyorgy and Csaba Szepesvari
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Cascading Bandits: Learning to Rank in the Cascade Model
Branislav Kveton, Csaba Szepesvari, Zheng Wen and Azin Ashkan
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Online Learning with Gaussian Payoffs and Side Observations
Yifan Wu, András György and Csaba Szepesvari
Advances in Neural Information Processing Systems 28, 2015


Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path
Daniel J. Hsu, Aryeh Kontorovich and Csaba Szepesvari
Advances in Neural Information Processing Systems 28, 2015


Linear Multi-Resource Allocation with Semi-Bandit Feedback
Tor Lattimore, Koby Crammer and Csaba Szepesvari
Advances in Neural Information Processing Systems 28, 2015


Combinatorial Cascading Bandits
Branislav Kveton, Zheng Wen, Azin Ashkan and Csaba Szepesvari
Advances in Neural Information Processing Systems 28, 2015


Adaptive Monte Carlo via Bandit Allocation
James Neufeld, Andras Gyorgy, Csaba Szepesvari and Dale Schuurmans
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Online Learning in Markov Decision Processes with Changing Cost Sequences
Travis Dick, Andras Gyorgy and Csaba Szepesvari
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Universal Option Models
Hengshuai Yao, Csaba Szepesvari, Richard S. Sutton, Joseph Modayil and Shalabh Bhatnagar
Advances in Neural Information Processing Systems 27, 2014


Online Learning under Delayed Feedback
Pooria Joulani, Andras Gyorgy and Csaba Szepesvari
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Cost-sensitive Multiclass Classification Risk Bounds
Bernardo V. Pires, Csaba Szepesvari and Mohammad Ghavamzadeh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Online Learning with Costly Features and Labels
Navid Zolghadr, Gabor Bartok, Russell Greiner, András György and Csaba Szepesvari
Advances in Neural Information Processing Systems 26, 2013


Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Yasin Abbasi-yadkori, Peter Bartlett, Varun Kanade, Yevgeny Seldin and Csaba Szepesvari
Advances in Neural Information Processing Systems 26, 2013