Christos Dimitrakakis

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 56

Top Venues

Publications

Anne-Marie George, Christos Dimitrakakis
Eliciting Kemeny Rankings. AAAI (2024)
Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
Strategic Linear Contextual Bandits. CoRR (2024)
Hannes Eriksson, Tommy Tram, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer. AAMAS (2024)
Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation. ICLR (2024)
Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge
Minimax-Bayes Reinforcement Learning. CoRR (2023)
Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge
Minimax-Bayes Reinforcement Learning. AISTATS (2023)
Meirav Segal, Anne-Marie George, Christos Dimitrakakis
Policy Fairness and Unknown Bias Dynamics in Sequential Allocations. EAAMO (2023)
Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation. CoRR (2023)
Andreas Nikolaos Athanasopoulos, Amanda Belfrage, David Berg Marklund, Christos Dimitrakakis
Approximate Inference for the Bayesian Fairness Framework. EWAF (2023)
Anne-Marie George, Christos Dimitrakakis
Eliciting Kemeny Rankings. CoRR (2023)
Hannes Eriksson, Debabrota Basu, Tommy Tram, Mina Alibeigi, Christos Dimitrakakis
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer. CoRR (2023)
Thomas Kleine Büning, Anne-Marie George, Christos Dimitrakakis
Interactive Inverse Reinforcement Learning for Cooperative Games. ICML (2022)
Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Anne-Marie George, Christos Dimitrakakis
On Meritocracy in Optimal Set Selection. EAAMO (2022)
Meirav Segal, Anne-Marie George, Christos Dimitrakakis
Simulating University Application Data for Fair Matchings. NAIS (2022)
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty. CoRR (2022)
Thomas Kleine Buening, Christos Dimitrakakis
Environment Design for Inverse Reinforcement Learning. CoRR (2022)
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning. UAI (2022)
Hannes Eriksson, Christos Dimitrakakis, Lars Carlsson
High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling. CoRR (2021)
Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Christos Dimitrakakis
Fair Set Selection: Meritocracy and Social Welfare. CoRR (2021)
Thomas Kleine Buening, Anne-Marie George, Christos Dimitrakakis
Interactive Inverse Reinforcement Learning for Cooperative Games. CoRR (2021)
Divya Grover, Christos Dimitrakakis
Adaptive Belief Discretization for POMDP Planning. CoRR (2021)
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning. CoRR (2021)
Christos Dimitrakakis, Hannes Eriksson, Emilio Jorge, Divya Grover, Debabrota Basu
Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions. CoRR (2020)
Hannes Eriksson, Christos Dimitrakakis
Epistemic Risk-Sensitive Reinforcement Learning. ESANN (2020)
Aristide C. Y. Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann
A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandits: Algorithms and Regret Bounds. AAMAS (2020)
Divya Grover, Debabrota Basu, Christos Dimitrakakis
Bayesian Reinforcement Learning via Deep, Sparse Sampling. AISTATS (2020)
Emilio Jorge, Hannes Eriksson, Christos Dimitrakakis, Debabrota Basu, Divya Grover
Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning. ICBINB@NeurIPS (2020)
Hannes Eriksson, Christos Dimitrakakis
Epistemic Risk-Sensitive Reinforcement Learning. CoRR (2019)
Mahrokh Ghoddousi Boroujeni, Dominik Fay, Christos Dimitrakakis, Maryam Kamgarpour
Privacy of Real-Time Pricing in Smart Grid. CoRR (2019)
Gilles Barthe, Christos Dimitrakakis, Marco Gaboardi, Andreas Haeberlen, Aaron Roth, Aleksandra B. Slavkovic
Program for TPDP 2016. J. Priv. Confidentiality 9 (1) (2019)
Debabrota Basu, Christos Dimitrakakis, Aristide C. Y. Tossou
Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost? CoRR (2019)
Divya Grover, Christos Dimitrakakis
Deeper & Sparser Exploration. CoRR (2019)
Aristide C. Y. Tossou, Debabrota Basu, Christos Dimitrakakis
Near-optimal Reinforcement Learning using Bayesian Quantiles. CoRR (2019)
Aristide C. Y. Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann
Near-Optimal Online Egalitarian learning in General Sum Repeated Matrix Games. CoRR (2019)
Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic
Bayesian Fairness. AAAI (2019)
Mahrokh Ghoddousi Boroujeni, Dominik Fay, Christos Dimitrakakis, Maryam Kamgarpour
Privacy of Real-Time Pricing in Smart Grid. CDC (2019)
Nikolaos Tziortziotis, Christos Dimitrakakis, Michalis Vazirgiannis
Randomised Bayesian Least-Squares Policy Iteration. CoRR (2019)
Aristide C. Y. Tossou, Debabrota Basu, Christos Dimitrakakis
Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities. CoRR (2019)
Andreas Ekström, Christian Forssén, Christos Dimitrakakis, Devdatt P. Dubhashi, Håkan T. Johansson, Azam Sheikh Muhammad, Hans Salomonsson, Alexander Schliep
Bayesian optimization in ab initio nuclear physics. CoRR (2019)
Luca Luceri, Felipe Cardoso, Michela Papandrea, Silvia Giordano, Julia Buwaya, Stéphane Kündig, Constantinos Marios Angelopoulos, José D. P. Rolim, Zhongliang Zhao, Jose Luis Carrera, Torsten Braun, Aristide C. Y. Tossou, Christos Dimitrakakis, Aikaterini Mitrokotsa
VIVO: A secure, privacy-preserving, and real-time crowd-sensing framework for the Internet of Things. Pervasive Mob. Comput. 49 (2018)
Aristide C. Y. Tossou, Christos Dimitrakakis
On The Differential Privacy of Thompson Sampling With Gaussian Prior. CoRR (2018)
Carlo Brunetta, Christos Dimitrakakis, Bei Liang, Aikaterini Mitrokotsa
A Differentially Private Encryption Scheme. ISC (2017)
Aristide C. Y. Tossou, Christos Dimitrakakis
Achieving Privacy in the Adversarial Multi-Armed Bandit. CoRR (2017)
Brammert Ottens, Christos Dimitrakakis, Boi Faltings
DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems. ACM Trans. Intell. Syst. Technol. 8 (5) (2017)
Christos Dimitrakakis, Aikaterini Mitrokotsa
Near-optimal blacklisting. Comput. Secur. 64 (2017)
Aristide Charles Yedia Tossou, Christos Dimitrakakis
Achieving Privacy in the Adversarial Multi-Armed Bandit. AAAI (2017)
Christos Dimitrakakis, Blaine Nelson, Zuhe Zhang, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein
Differential Privacy for Bayesian Inference through Posterior Sampling. J. Mach. Learn. Res. 18 (2017)
Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt P. Dubhashi
Thompson Sampling For Stochastic Bandits with Graph Feedback. CoRR (2017)
Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, David C. Parkes
Calibrated Fairness in Bandits. CoRR (2017)
Philip Ekman, Sebastian Bellevik, Christos Dimitrakakis, Aristide C. Y. Tossou
Learning to Match. CoRR (2017)
Nikolaos Tziortziotis, Christos Dimitrakakis
Bayesian Inference for Least Squares Temporal Difference Regularization. ECML/PKDD (2) (2017)
Christos Dimitrakakis, David C. Parkes, Goran Radanovic, Paul Tylkin
Multi-View Decision Processes: The Helper-AI Problem. NIPS (2017)
Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt P. Dubhashi
Thompson Sampling for Stochastic Bandits with Graph Feedback. AAAI (2017)
Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic
Subjective fairness: Fairness is in the eye of the beholder. CoRR (2017)
Zuhe Zhang, Benjamin I. P. Rubinstein, Christos Dimitrakakis
On the Differential Privacy of Bayesian Inference. AAAI (2016)
Aristide C. Y. Tossou, Christos Dimitrakakis
Algorithms for Differentially Private Multi-Armed Bandits. AAAI (2016)
Christos Dimitrakakis, Aikaterini Mitrokotsa
Distance-Bounding Protocols: Are You Close Enough? IEEE Secur. Priv. 13 (4) (2015)
Aristide C. Y. Tossou, Christos Dimitrakakis
Optimal Advertisement Strategies for Small and Big Companies. AFRICOMM (2015)
Aristide C. Y. Tossou, Christos Dimitrakakis
Algorithms for Differentially Private Multi-Armed Bandits. CoRR (2015)
Andreea Hossmann-Picu, Zan Li, Zhongliang Zhao, Torsten Braun, Constantinos Marios Angelopoulos, Orestis Evangelatos, José D. P. Rolim, Michela Papandrea, Kamini Garg, Silvia Giordano, Aristide C. Y. Tossou, Christos Dimitrakakis, Aikaterini Mitrokotsa
Synergistic User ⟷ Context Analytics. ICT Innovations (2015)
Christos Dimitrakakis, Aikaterini Mitrokotsa, Serge Vaudenay
Expected loss analysis for authentication in constrained channels. J. Comput. Secur. 23 (3) (2015)
Zuhe Zhang, Benjamin I. P. Rubinstein, Christos Dimitrakakis
On the Differential Privacy of Bayesian Inference. CoRR (2015)
Christos Dimitrakakis, Aikaterini Mitrokotsa, Arunesh Sinha
Workshop Summary of AISec'15: 2015 Workshop on Artificial Intelligent and Security. CCS (2015)
Christos Dimitrakakis, Guangliang Li, Nikolaos Tziortziotis
The Reinforcement Learning Competition 2014. AI Mag. 35 (3) (2014)
Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein
Robust and Private Bayesian Inference. ALT (2014)
Elena Pagnin, Christos Dimitrakakis, Aysajan Abidin, Aikaterini Mitrokotsa
On the Leakage of Information in Biometric Authentication. INDOCRYPT (2014)
Christos Dimitrakakis, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein
Workshop Summary of AISec'14: 2014 Workshop on Artificial Intelligent and Security. CCS (2014)
Aristide C. Y. Tossou, Christos Dimitrakakis
Probabilistic inverse reinforcement learning in unknown environments. CoRR (2014)
Emmanouil G. Androulakis, Christos Dimitrakakis
Generalised Entropy MDPs and Minimax Regret. CoRR (2014)
Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas
Cover tree Bayesian reinforcement learning. J. Mach. Learn. Res. 15 (1) (2014)
Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas
Linear Bayesian Reinforcement Learning. IJCAI (2013)
Christos Dimitrakakis
Monte-Carlo utility estimates for Bayesian reinforcement learning CoRR (2013)
Pengsheng Zheng, Christos Dimitrakakis, Jochen Triesch
Network Self-Organization Explains the Statistics and Dynamics of Synaptic Connection Strengths in Cortex. PLoS Comput. Biol. 9 (1) (2013)
Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein
Robust, Secure and Private Bayesian Inference. CoRR (2013)
Christos Dimitrakakis, Nikolaos Tziortziotis
ABC Reinforcement Learning. ICML (3) (2013)
Blaine Nelson, Christos Dimitrakakis, Elaine Shi
Summary/overview for artificial intelligence and security (AISec'13). CCS (2013)
Aikaterini Mitrokotsa, Christos Dimitrakakis
Intrusion detection in MANET using classification algorithms: The effects of cost and model selection. Ad Hoc Networks 11 (1) (2013)
Christos Dimitrakakis
Monte-Carlo utility estimates for Bayesian reinforcement learning. CDC (2013)
Florent Garcin, Christos Dimitrakakis, Boi Faltings
Personalized News Recommendation with Context Trees CoRR (2013)
Florent Garcin, Christos Dimitrakakis, Boi Faltings
Personalized news recommendation with context trees. RecSys (2013)
Aristide C. Y. Tossou, Christos Dimitrakakis
Probabilistic inverse reinforcement learning in unknown environments. UAI (2013)
Aikaterini Mitrokotsa, Pedro Peris-Lopez, Christos Dimitrakakis, Serge Vaudenay
On Selecting the Nonce Length in Distance-Bounding Protocols. Comput. J. 56 (10) (2013)
Christos Dimitrakakis, Nikolaos Tziortziotis
ABC Reinforcement Learning CoRR (2013)
Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas
Cover Tree Bayesian Reinforcement Learning CoRR (2013)
Aristide C. Y. Tossou, Christos Dimitrakakis
Probabilistic inverse reinforcement learning in unknown environments. CoRR (2013)
Christos Dimitrakakis, Aikaterini Mitrokotsa, Serge Vaudenay
Expected loss bounds for authentication in constrained channels. INFOCOM (2012)
Christos Dimitrakakis
Sparse Reward Processes CoRR (2012)
Christos Dimitrakakis, Aikaterini Mitrokotsa
Near-Optimal Node Blacklisting in Adversarial Networks CoRR (2012)
Brammert Ottens, Christos Dimitrakakis, Boi Faltings
DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems. AAAI (2012)
Christos Dimitrakakis, Tom Karygiannis, Aikaterini Mitrokotsa
Guest Editors' Introduction: Special Section on Learning, Games, and Security. IEEE Trans. Dependable Secur. Comput. 9 (4) (2012)
Christos Dimitrakakis
Robust Bayesian reinforcement learning through tight lower bounds CoRR (2011)
Christos Dimitrakakis, Constantin A. Rothkopf
Bayesian Multitask Inverse Reinforcement Learning. EWRL (2011)
Christos Dimitrakakis
Robust Bayesian Reinforcement Learning through Tight Lower Bounds. EWRL (2011)
Constantin A. Rothkopf, Christos Dimitrakakis
Preference Elicitation and Inverse Reinforcement Learning. ECML/PKDD (3) (2011)
Christos Dimitrakakis, Samy Bengio
Phoneme and Sentence-Level Ensembles for Speech Recognition. EURASIP J. Audio Speech Music. Process. 2011 (2011)
Constantin A. Rothkopf, Christos Dimitrakakis
Preference elicitation and inverse reinforcement learning CoRR (2011)
Christos Dimitrakakis, Constantin A. Rothkopf
Bayesian multitask inverse reinforcement learning CoRR (2011)
Christos Dimitrakakis
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning. ICAART (1) (2010)
Christos Dimitrakakis, Aikaterini Mitrokotsa, Serge Vaudenay
Expected loss analysis of thresholded authentication protocols in noisy conditions CoRR (2010)
Christos Dimitrakakis
Bayesian variable order Markov models. AISTATS (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christos Dimitrakakis