Christos Dimitrakakis

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Aikaterini (Katerina) MitrokotsaProfessor, University of St. GallenVerificeret mail på unisg.ch
Aristide TossouChalmers University of TechnologyVerificeret mail på chalmers.se
Debabrota BasuFaculty, Inria at University of Lille and CNRS (CRIStAL), ELLIS ScholarVerificeret mail på comp.nus.edu.sg
Benjamin I. P. RubinsteinProfessor, School of Computing and Information Systems, The University of MelbourneVerificeret mail på unimelb.edu.au
Hannes ErikssonZenseact ABVerificeret mail på chalmers.se
David C. ParkesGeorge F. Colony Professor of Computer Science, Harvard UniversityVerificeret mail på eecs.harvard.edu
Samy BengioSenior Director, AI and Machine Learning Research, AppleVerificeret mail på apple.com
Goran RadanovićResearch Group Leader, Max Planck Institute for Software SystemsVerificeret mail på mpi-sws.org
Constantin A. RothkopfProfessor, Technical University Darmstadt & Adjunct Fellow, FIASVerificeret mail på cogsci.tu-darmstadt.de
Nikolaos TziortziotisJellyfish ResearchVerificeret mail på jellyfish.com
Zuhe ZhangSchool of Computing & Information Systems, The University of MelbourneVerificeret mail på unimelb.edu.au
Thomas Kleine BueningThe Alan Turing Institute / University of OxfordVerificeret mail på turing.ac.uk
Boi FaltingsEPFLVerificeret mail på epfl.ch
Jochen TrieschFrankfurt Institute for Advanced StudiesVerificeret mail på fias.uni-frankfurt.de
Yang LiuComputer Science and Engineering, UC Santa CruzVerificeret mail på ucsc.edu
Ronald OrtnerMontanuniversität LeobenVerificeret mail på unileoben.ac.at
Michail G. LagoudakisProfessor, School of ECE, Technical University of Crete, GreeceVerificeret mail på tuc.gr
Anne-Marie GeorgeUniversity of OsloVerificeret mail på ifi.uio.no
Emilio JorgePhD Student, Chalmers University of TechnologyVerificeret mail på chalmers.se
Serge VaudenayProfessor at EPFLVerificeret mail på epfl.ch

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Christos Dimitrakakis

Professor, University of Neuchatel

Verificeret mail på alumni.epfl.ch - Startside

Reinforcement Learning Differential privacy Fairness Artificial Intelligence Decision Theory


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
TORCS: The Open Racing Car Simulator, v1.3.5 B Wymann, E Espié, C Guionneau, C Dimitrakakis, R Coulom, A Sumner	563*	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	230	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	180*	2017
Bayesian multitask inverse reinforcement learning C Dimitrakakis, C Rothkopf Recent Advances in Reinforcement Learning, 2011	141	2011
Calibrated fairness in bandits Y Liu, G Radanovic, C Dimitrakakis, D Mandal, DC Parkes arXiv preprint arXiv:1707.01875, 2017	132	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	132	2013
Algorithms for differentially private multi-armed bandits A Tossou, C Dimitrakakis Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	130	2016
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	120	2013
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	113	2017
DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems. B Ottens, C Dimitrakakis, B Faltings AAAI, 2012	113*	2012
Preference elicitation and inverse reinforcement learning C Rothkopf, C Dimitrakakis Machine Learning and Knowledge Discovery in Databases, 34-48, 2011	111	2011
On the differential privacy of Bayesian inference Z Zhang, B Rubinstein, C Dimitrakakis Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	109	2016
Rollout sampling approximate policy iteration C Dimitrakakis, MG Lagoudakis Machine Learning 72 (3), 157-171, 2008	81	2008
Achieving privacy in the adversarial multi-armed bandit A Tossou, C Dimitrakakis Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	61	2017
Bayesian fairness C Dimitrakakis, Y Liu, DC Parkes, G Radanovic Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 509-516, 2019	53*	2019
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	46	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	42	2014
Epistemic risk-sensitive reinforcement learning H Eriksson, C Dimitrakakis arXiv preprint arXiv:1906.06273, 2019	38	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	37	2010
Bayesian variable order Markov models C Dimitrakakis Proceedings of the 13th International Conference on Artificial Intelligence …, 2010	36	2010

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