| Algorithms for differentially private multi-armed bandits A Tossou, C Dimitrakakis Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 117 | 2016 |
| Achieving privacy in the adversarial multi-armed bandit A Tossou, C Dimitrakakis Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 58 | 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 | 42 | 2019 |
| Near-optimal optimistic reinforcement learning using empirical bernstein inequalities A Tossou, D Basu, C Dimitrakakis arXiv preprint arXiv:1905.12425, 2019 | 33 | 2019 |
| Thompson sampling for stochastic bandits with graph feedback A Tossou, C Dimitrakakis, D Dubhashi Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 33 | 2017 |
| VIVO: A secure, privacy-preserving, and real-time crowd-sensing framework for the Internet of Things L Luceri, F Cardoso, M Papandrea, S Giordano, J Buwaya, S Kundig, ... Pervasive and mobile computing 49, 126-138, 2018 | 20 | 2018 |
| Probabilistic inverse reinforcement learning in unknown environments ACY Tossou, C Dimitrakakis arXiv preprint arXiv:1307.3785, 2013 | 13 | 2013 |
| Differentially private, multi-agent multi-armed bandits ACY Tossou, C Dimitrakakis European Workshop on Reinforcement Learning (EWRL), 2015 | 10 | 2015 |
| Beliefbox: A framework for statistical methods in sequential decision making C Dimitrakakis | 8 | 2007 |
| A novel individually rational objective in multi-agent multi-armed bandits: Algorithms and regret bounds ACY Tossou, C Dimitrakakis, J Rzepecki, K Hofmann Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 4 | 2020 |
| Learning to match P Ekman, S Bellevik, C Dimitrakakis, A Tossou arXiv preprint arXiv:1707.09678, 2017 | 3 | 2017 |
| Synergistic User Context Analytics A Hossmann-Picu, Z Li, Z Zhao, T Braun, CM Angelopoulos, ... ICT Innovations 2015: Emerging Technologies for Better Living 7, 163-172, 2016 | 3 | 2016 |
| Near-optimal Bayesian Solution For Unknown Discrete Markov Decision Process A Tossou, C Dimitrakakis, D Basu arXiv preprint arXiv:1906.09114, 2019 | 1 | 2019 |
| On the differential privacy of thompson sampling with gaussian prior ACY Tossou, C Dimitrakakis arXiv preprint arXiv:1806.09192, 2018 | 1 | 2018 |
| Near-Optimal Online Egalitarian learning in General Sum Repeated Matrix Games A Tossou, C Dimitrakakis, J Rzepecki, K Hofmann arXiv preprint arXiv:1906.01609, 2019 | | 2019 |
| Near-optimal Reinforcement Learning using Bayesian Quantiles A Tossou, D Basu, C Dimitrakakis arXiv preprint arXiv:1906.09114, 2019 | | 2019 |
| Towards Optimal Algorithms For Online Decision Making Under Practical Constraints ACY Tossou Department of Computer Science and Engineering, Chalmers University of …, 2019 | | 2019 |
| Privacy In The Age Of Artificial Intelligence ACY Tossou PQDT-Global, 2017 | | 2017 |
| Résolution du problème de renforcement inverse sans l’utilisation du modèle de l’environnement ACY TOSSOU, V ADANHOUNME, SA ADEDJOUMA, MK ASSOGBA, ... EPAC/UAC, 2012 | | 2012 |
