Christos Dimitrakakis

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Aikaterini (Katerina) MitrokotsaProfessor, University of St. GallenVerified email at unisg.ch
Aristide TossouChalmers University of TechnologyVerified email at chalmers.se
Benjamin I. P. RubinsteinProfessor, School of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Debabrota BasuFaculty, Inria at University of Lille and CNRS (CRIStAL)Verified email at comp.nus.edu.sg
Samy BengioSenior Director, AI and Machine Learning Research, AppleVerified email at apple.com
David C. ParkesGeorge F. Colony Professor of Computer Science, Harvard UniversityVerified email at eecs.harvard.edu
Goran RadanovićResearch Group Leader, Max Planck Institute for Software SystemsVerified email at mpi-sws.org
Constantin A. RothkopfProfessor, Technical University Darmstadt & Adjunct Fellow, FIASVerified email at cogsci.tu-darmstadt.de
Nikolaos TziortziotisJellyfish ResearchVerified email at jellyfish.com
Zuhe ZhangSchool of Computing & Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Yang LiuComputer Science and Engineering, UC Santa CruzVerified email at ucsc.edu
Jochen TrieschFrankfurt Institute for Advanced StudiesVerified email at fias.uni-frankfurt.de
Michail G. LagoudakisAssociate Professor, School of ECE, Technical University of Crete, GreeceVerified email at intelligence.tuc.gr
Serge VaudenayProfessor at EPFLVerified email at epfl.ch
Pedro Peris-LopezAssociate professor, Computer Science Department, Carlos III University of MadridVerified email at inf.uc3m.es
Florent F. GarcinPhD, Researcher at Swiss Federal Institute of Technology, Lausanne (EPFL)Verified email at epfl.ch
Devdatt DubhashiProfessor ChalmersVerified email at chalmers.se
Julio Hernandez-CastroProfessor of Computer Security, University of KentVerified email at kent.ac.uk
Konstantinos BlekasAssistant Professor, Computer Science and Engineering, University of Ioannina, GreeceVerified email at cs.uoi.gr
Brammert OttensSenior Machine Learning Engineer at SpotifyVerified email at spotify.com

Christos Dimitrakakis

Professor, University of Neuchatel

Verified email at a3.epfl.ch - Homepage

Reinforcement Learning Differential privacy Fairness Artificial Intelligence Decision Theory


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TORCS: The Open Racing Car Simulator, v1.3.5 B Wymann, E Espié, C Guionneau, C Dimitrakakis, R Coulom, A Sumner	402*	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	152	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	141*	2017
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	119	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	105	2013
Bayesian multitask inverse reinforcement learning C Dimitrakakis, C Rothkopf Recent Advances in Reinforcement Learning, 2011	103	2011
Preference elicitation and inverse reinforcement learning C Rothkopf, C Dimitrakakis Machine Learning and Knowledge Discovery in Databases, 34-48, 2011	90	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	87	2017
DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems. B Ottens, C Dimitrakakis, B Faltings AAAI, 2012	87*	2012
Calibrated fairness in bandits Y Liu, G Radanovic, C Dimitrakakis, D Mandal, DC Parkes arXiv preprint arXiv:1707.01875, 2017	84	2017
On the differential privacy of Bayesian inference Z Zhang, BIP Rubinstein, C Dimitrakakis Thirtieth AAAI Conference on Artificial Intelligence, 2016	79	2016
Algorithms for differentially private multi-armed bandits ACY Tossou, C Dimitrakakis Thirtieth AAAI Conference on Artificial Intelligence, 2016	78	2016
Rollout sampling approximate policy iteration C Dimitrakakis, MG Lagoudakis Machine Learning 72 (3), 157-171, 2008	78	2008
Achieving privacy in the adversarial multi-armed bandit ACY Tossou, C Dimitrakakis Thirty-First AAAI Conference on Artificial Intelligence, 2017	41	2017
Online adaptive policies for ensemble classifiers C Dimitrakakis, S Bengio Neurocomputing 64, 211-221, 2005	35	2005
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	34	2010
Boosting HMMs with an application to speech recognition C Dimitrakakis, S Bengio Acoustics, Speech, and Signal Processing, 2004. Proceedings.(ICASSP'04 …, 2004	34	2004
Bayesian variable order Markov models C Dimitrakakis Proceedings of the 13th International Conference on Artificial Intelligence …, 2010	33	2010
Bayesian fairness C Dimitrakakis, Y Liu, DC Parkes, G Radanovic Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 509-516, 2019	31*	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	28	2014

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