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Christos Dimitrakakis
Christos Dimitrakakis
Professor, University of Neuchatel
Verifierad e-postadress på alumni.epfl.ch - Startsida
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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
571*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
2332013
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
182*2017
Bayesian multitask inverse reinforcement learning
C Dimitrakakis, C Rothkopf
Recent Advances in Reinforcement Learning, 2011
1412011
Calibrated fairness in bandits
Y Liu, G Radanovic, C Dimitrakakis, D Mandal, DC Parkes
arXiv preprint arXiv:1707.01875, 2017
1322017
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
1322013
Algorithms for differentially private multi-armed bandits
A Tossou, C Dimitrakakis
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
1302016
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
1212013
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
1142017
DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems.
B Ottens, C Dimitrakakis, B Faltings
AAAI, 2012
114*2012
Preference elicitation and inverse reinforcement learning
C Rothkopf, C Dimitrakakis
Machine Learning and Knowledge Discovery in Databases, 34-48, 2011
1112011
On the differential privacy of Bayesian inference
Z Zhang, B Rubinstein, C Dimitrakakis
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
1102016
Rollout sampling approximate policy iteration
C Dimitrakakis, MG Lagoudakis
Machine Learning 72 (3), 157-171, 2008
812008
Achieving privacy in the adversarial multi-armed bandit
A Tossou, C Dimitrakakis
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
612017
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
462019
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
432014
Epistemic risk-sensitive reinforcement learning
H Eriksson, C Dimitrakakis
arXiv preprint arXiv:1906.06273, 2019
392019
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
372010
Bayesian variable order Markov models
C Dimitrakakis
Proceedings of the 13th International Conference on Artificial Intelligence …, 2010
362010
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Artiklar 1–20