| TORCS: The Open Racing Car Simulator, v1.3.5 B Wymann, E Espié, C Guionneau, C Dimitrakakis, R Coulom, A Sumner | 609* | 2013 |
| Personalized news recommendation with context trees F Garcin, C Dimitrakakis, B Faltings Proceedings of the 7th ACM Conference on Recommender Systems, 105-112, 2013 | 258 | 2013 |
| Differential privacy for Bayesian inference through posterior sampling C Dimitrakakis, B Nelson, Z Zhang, A Mitrokotsa, BIP Rubinstein Journal of machine learning research 18 (11), 1-39, 2017 | 196* | 2017 |
| Calibrated fairness in bandits Y Liu, G Radanovic, C Dimitrakakis, D Mandal, DC Parkes arXiv preprint arXiv:1707.01875, 2017 | 156 | 2017 |
| Bayesian multitask inverse reinforcement learning C Dimitrakakis, C Rothkopf Recent Advances in Reinforcement Learning, 2011 | 153 | 2011 |
| Algorithms for differentially private multi-armed bandits A Tossou, C Dimitrakakis Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 144 | 2016 |
| Intrusion detection in MANET using classification algorithms: The effects of cost and model selection A Mitrokotsa, C Dimitrakakis Ad hoc networks 11 (1), 226-237, 2013 | 135 | 2013 |
| Network self-organization explains the statistics and dynamics of synaptic connection strengths in cortex P Zheng, C Dimitrakakis, J Triesch PLoS computational biology 9 (1), e1002848, 2013 | 125 | 2013 |
| Preference elicitation and inverse reinforcement learning C Rothkopf, C Dimitrakakis Machine Learning and Knowledge Discovery in Databases, 34-48, 2011 | 116 | 2011 |
| DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems B Ottens, C Dimitrakakis, B Faltings ACM Transactions on Intelligent Systems and Technology (TIST) 8 (5), 69, 2017 | 112 | 2017 |
| On the differential privacy of Bayesian inference Z Zhang, B Rubinstein, C Dimitrakakis Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 112 | 2016 |
| Rollout sampling approximate policy iteration C Dimitrakakis, MG Lagoudakis Machine Learning 72 (3), 157-171, 2008 | 85 | 2008 |
| Achieving privacy in the adversarial multi-armed bandit A Tossou, C Dimitrakakis Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 68 | 2017 |
| Differential privacy for multi-armed bandits: What is it and what is its cost? D Basu, C Dimitrakakis, A Tossou arXiv preprint arXiv:1905.12298, 2019 | 56 | 2019 |
| Bayesian fairness C Dimitrakakis, Y Liu, DC Parkes, G Radanovic Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 509-516, 2019 | 55* | 2019 |
| On the leakage of information in biometric authentication E Pagnin, C Dimitrakakis, A Abidin, A Mitrokotsa International Conference on Cryptology in India, 265-280, 2014 | 48 | 2014 |
| Epistemic risk-sensitive reinforcement learning H Eriksson, C Dimitrakakis arXiv preprint arXiv:1906.06273, 2019 | 47 | 2019 |
| Bayesian variable order Markov models C Dimitrakakis Proceedings of the 13th International Conference on Artificial Intelligence …, 2010 | 41 | 2010 |
| Near-optimal optimistic reinforcement learning using empirical bernstein inequalities A Tossou, D Basu, C Dimitrakakis arXiv preprint arXiv:1905.12425, 2019 | 39 | 2019 |
| Reid et al.'s distance bounding protocol and mafia fraud attacks over noisy channels A Mitrokotsa, C Dimitrakakis, P Peris-Lopez, JC Hernandez-Castro Communications Letters, IEEE 14 (2), 121-123, 2010 | 36 | 2010 |
Aikaterini (Katerina) MitrokotsaProfessor, University of St. GallenVerified email at unisg.ch
