Christos Dimitrakakis

145 papers A* 16A 10B 3C 2Misc 1Journal 79Unranked 26

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	A Minimax Approach to Ad Hoc Teamwork. AAMAS Victor Villin, Thomas Kleine Buening, Christos Dimitrakakis
2025	J	`jnl`	A Minimax Approach to Ad Hoc Teamwork. CoRR Victor Villin, Thomas Kleine Buening, Christos Dimitrakakis
2025	J	`jnl`	Fair Contracts in Principal-Agent Games with Heterogeneous Types. CoRR Jakub Tluczek, Victor Villin, Christos Dimitrakakis
2025	J	`jnl`	Inference of Intrinsic Rewards and Fairness in Multi-Agent Systems. CoRR Victor Villin, Christos Dimitrakakis
2025	J	`jnl`	Learning Equilibria in Matching Games with Bandit Feedback. CoRR Andreas Nikolaos Athanasopoulos, Christos Dimitrakakis
2025	A	`conf`	Probably Correct Optimal Stable Matching for Two-Sided Market Under Uncertainty. AAMAS Andreas Athanasopoulos, Anne-Marie George, Christos Dimitrakakis
2025	J	`jnl`	Probably Correct Optimal Stable Matching for Two-Sided Markets Under Uncertainty. CoRR Andreas Nikolaos Athanasopoulos, Anne-Marie George, Christos Dimitrakakis
2025	J	`jnl`	Rawlsian many-to-one matching with non-linear utility. CoRR Hortence Phalonne Nana, Andreas Athanasopoulos, Christos Dimitrakakis
2025	J	`jnl`	Sequential Cohort Selection. CoRR Hortence Phalonne Nana, Christos Dimitrakakis
2025	J	`jnl`	Two-Player Zero-Sum Games with Bandit Feedback. CoRR Elif Yilmaz, Christos Dimitrakakis
2024	A*	`conf`	Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation. ICLR Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
2024	—	`conf`	Better Luck Next Time: About Robust Recourse in Binary Allocation Problems. xAI (3) Meirav Segal, Anne-Marie George, Ingrid Chieh Yu, Christos Dimitrakakis
2024	A*	`conf`	Eliciting Kemeny Rankings. AAAI Anne-Marie George, Christos Dimitrakakis
2024	A*	`conf`	Environment Design for Inverse Reinforcement Learning. ICML Thomas Kleine Buening, Victor Villin, Christos Dimitrakakis
2024	J	`jnl`	Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret. CoRR Emilio Jorge, Christos Dimitrakakis, Debabrota Basu
2024	A	`conf`	Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer. AAMAS Hannes Eriksson, Tommy Tram, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
2024	A*	`conf`	Strategic Linear Contextual Bandits. NeurIPS Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
2024	J	`jnl`	Strategic Linear Contextual Bandits. CoRR Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
2024	—	`conf`	Threshold Recourse for Dynamic Allocations. EWAF Meirav Segal, Anne-Marie George, Christos Dimitrakakis
2023	—	`conf`	Approximate Inference for the Bayesian Fairness Framework. EWAF Andreas Nikolaos Athanasopoulos, Amanda Belfrage, David Berg Marklund, Christos Dimitrakakis
2023	J	`jnl`	Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation. CoRR Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
2023	J	`jnl`	Eliciting Kemeny Rankings. CoRR Anne-Marie George, Christos Dimitrakakis
2023	A	`conf`	Minimax-Bayes Reinforcement Learning. AISTATS Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge
2023	J	`jnl`	Minimax-Bayes Reinforcement Learning. CoRR Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge
2023	—	`conf`	Policy Fairness and Unknown Bias Dynamics in Sequential Allocations. EAAMO Meirav Segal, Anne-Marie George, Christos Dimitrakakis
2023	J	`jnl`	Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer. CoRR Hannes Eriksson, Debabrota Basu, Tommy Tram, Mina Alibeigi, Christos Dimitrakakis
2022	—	`book`	Decision Making Under Uncertainty and Reinforcement Learning - Theory and Algorithms Christos Dimitrakakis, Ronald Ortner
2022	J	`jnl`	Environment Design for Inverse Reinforcement Learning. CoRR Thomas Kleine Buening, Christos Dimitrakakis
2022	A*	`conf`	Interactive Inverse Reinforcement Learning for Cooperative Games. ICML Thomas Kleine Büning, Anne-Marie George, Christos Dimitrakakis
2022	—	`conf`	On Meritocracy in Optimal Set Selection. EAAMO Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Anne-Marie George, Christos Dimitrakakis
2022	J	`jnl`	Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty. CoRR Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
2022	A	`conf`	SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning. UAI Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
2022	—	`conf`	Simulating University Application Data for Fair Matchings. NAIS Meirav Segal, Anne-Marie George, Christos Dimitrakakis
2021	J	`jnl`	Adaptive Belief Discretization for POMDP Planning. CoRR Divya Grover, Christos Dimitrakakis
2021	J	`jnl`	Fair Set Selection: Meritocracy and Social Welfare. CoRR Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Christos Dimitrakakis
2021	J	`jnl`	High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling. CoRR Hannes Eriksson, Christos Dimitrakakis, Lars Carlsson
2021	J	`jnl`	Interactive Inverse Reinforcement Learning for Cooperative Games. CoRR Thomas Kleine Buening, Anne-Marie George, Christos Dimitrakakis
2021	J	`jnl`	SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning. CoRR Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
2020	A	`conf`	A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandits: Algorithms and Regret Bounds. AAMAS Aristide C. Y. Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann
2020	A	`conf`	Bayesian Reinforcement Learning via Deep, Sparse Sampling. AISTATS Divya Grover, Debabrota Basu, Christos Dimitrakakis
2020	B	`conf`	Epistemic Risk-Sensitive Reinforcement Learning. ESANN Hannes Eriksson, Christos Dimitrakakis
2020	—	`conf`	Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning. ICBINB@NeurIPS Emilio Jorge, Hannes Eriksson, Christos Dimitrakakis, Debabrota Basu, Divya Grover
2020	J	`jnl`	Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions. CoRR Christos Dimitrakakis, Hannes Eriksson, Emilio Jorge, Divya Grover, Debabrota Basu
2019	A*	`conf`	Bayesian Fairness. AAAI Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic
2019	J	`jnl`	Bayesian optimization in ab initio nuclear physics. CoRR Andreas Ekström, Christian Forssén, Christos Dimitrakakis, Devdatt P. Dubhashi, Håkan T. Johansson, Azam Sheikh Muhammad, Hans Salomonsson, Alexander Schliep
2019	J	`jnl`	Deeper & Sparser Exploration. CoRR Divya Grover, Christos Dimitrakakis
2019	J	`jnl`	Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost? CoRR Debabrota Basu, Christos Dimitrakakis, Aristide C. Y. Tossou
2019	J	`jnl`	Epistemic Risk-Sensitive Reinforcement Learning. CoRR Hannes Eriksson, Christos Dimitrakakis
2019	J	`jnl`	Near-Optimal Online Egalitarian learning in General Sum Repeated Matrix Games. CoRR Aristide C. Y. Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann
2019	J	`jnl`	Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities. CoRR Aristide C. Y. Tossou, Debabrota Basu, Christos Dimitrakakis
2019	J	`jnl`	Near-optimal Reinforcement Learning using Bayesian Quantiles. CoRR Aristide C. Y. Tossou, Debabrota Basu, Christos Dimitrakakis
2019	—	`conf`	Privacy of Real-Time Pricing in Smart Grid. CDC Mahrokh Ghoddousi Boroujeni, Dominik Fay, Christos Dimitrakakis, Maryam Kamgarpour
2019	J	`jnl`	Privacy of Real-Time Pricing in Smart Grid. CoRR Mahrokh Ghoddousi Boroujeni, Dominik Fay, Christos Dimitrakakis, Maryam Kamgarpour
2019	J	`jnl`	Program for TPDP 2016. J. Priv. Confidentiality Gilles Barthe, Christos Dimitrakakis, Marco Gaboardi, Andreas Haeberlen, Aaron Roth, Aleksandra B. Slavkovic
2019	J	`jnl`	Randomised Bayesian Least-Squares Policy Iteration. CoRR Nikolaos Tziortziotis, Christos Dimitrakakis, Michalis Vazirgiannis
2018	J	`jnl`	On The Differential Privacy of Thompson Sampling With Gaussian Prior. CoRR Aristide C. Y. Tossou, Christos Dimitrakakis
2018	J	`jnl`	VIVO: A secure, privacy-preserving, and real-time crowd-sensing framework for the Internet of Things. Pervasive Mob. Comput. Luca Luceri, Felipe Cardoso, Michela Papandrea, Silvia Giordano, Julia Buwaya, Stéphane Kuendig, Constantinos Marios Angelopoulos, José D. P. Rolim, Zhongliang Zhao, Jose Luis Carrera, Torsten Braun, Aristide C. Y. Tossou, Christos Dimitrakakis, Aikaterini Mitrokotsa
2017	C	`conf`	A Differentially Private Encryption Scheme. ISC Carlo Brunetta, Christos Dimitrakakis, Bei Liang, Aikaterini Mitrokotsa
2017	A*	`conf`	Achieving Privacy in the Adversarial Multi-Armed Bandit. AAAI Aristide Charles Yedia Tossou, Christos Dimitrakakis
2017	J	`jnl`	Achieving Privacy in the Adversarial Multi-Armed Bandit. CoRR Aristide C. Y. Tossou, Christos Dimitrakakis
2017	—	`conf`	Adaptive sampling-based view planning under time constraints. ECMR Lars Kunze, Mohan Sridharan, Christos Dimitrakakis, Jeremy L. Wyatt
2017	—	`conf`	Bayesian Inference for Least Squares Temporal Difference Regularization. ECML/PKDD (2) Nikolaos Tziortziotis, Christos Dimitrakakis
2017	J	`jnl`	Calibrated Fairness in Bandits. CoRR Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, David C. Parkes
2017	J	`jnl`	DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems. ACM Trans. Intell. Syst. Technol. Brammert Ottens, Christos Dimitrakakis, Boi Faltings
2017	J	`jnl`	Differential Privacy for Bayesian Inference through Posterior Sampling. J. Mach. Learn. Res. Christos Dimitrakakis, Blaine Nelson, Zuhe Zhang, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein
2017	J	`jnl`	Learning to Match. CoRR Philip Ekman, Sebastian Bellevik, Christos Dimitrakakis, Aristide C. Y. Tossou
2017	—	`conf`	Multi-View Decision Processes: The Helper-AI Problem. NIPS Christos Dimitrakakis, David C. Parkes, Goran Radanovic, Paul Tylkin
2017	J	`jnl`	Near-optimal blacklisting. Comput. Secur. Christos Dimitrakakis, Aikaterini Mitrokotsa
2017	J	`jnl`	Subjective fairness: Fairness is in the eye of the beholder. CoRR Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic
2017	J	`jnl`	Thompson Sampling For Stochastic Bandits with Graph Feedback. CoRR Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt P. Dubhashi
2017	A*	`conf`	Thompson Sampling for Stochastic Bandits with Graph Feedback. AAAI Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt P. Dubhashi
2016	A*	`conf`	Algorithms for Differentially Private Multi-Armed Bandits. AAAI Aristide C. Y. Tossou, Christos Dimitrakakis
2016	A*	`conf`	On the Differential Privacy of Bayesian Inference. AAAI Zuhe Zhang, Benjamin I. P. Rubinstein, Christos Dimitrakakis
2015	J	`jnl`	Algorithms for Differentially Private Multi-Armed Bandits. CoRR Aristide C. Y. Tossou, Christos Dimitrakakis
2015	J	`jnl`	Distance-Bounding Protocols: Are You Close Enough? IEEE Secur. Priv. Christos Dimitrakakis, Aikaterini Mitrokotsa
2015	J	`jnl`	Expected loss analysis for authentication in constrained channels. J. Comput. Secur. Christos Dimitrakakis, Aikaterini Mitrokotsa, Serge Vaudenay
2015	J	`jnl`	On the Differential Privacy of Bayesian Inference. CoRR Zuhe Zhang, Benjamin I. P. Rubinstein, Christos Dimitrakakis
2015	—	`conf`	Optimal Advertisement Strategies for Small and Big Companies. AFRICOMM Aristide C. Y. Tossou, Christos Dimitrakakis
2015	—	`ed.`	Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security, AISec 2015, Denver, Colorado, USA, October 16, 2015 AISec@CCS Indrajit Ray, Xiaofeng Wang, Kui Ren, Christos Dimitrakakis, Aikaterini Mitrokotsa, Arunesh Sinha
2015	—	`conf`	Synergistic User ⟷ Context Analytics. ICT Innovations 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
2015	A*	`conf`	Workshop Summary of AISec'15: 2015 Workshop on Artificial Intelligent and Security. CCS Christos Dimitrakakis, Aikaterini Mitrokotsa, Arunesh Sinha
2014	J	`jnl`	Cover tree Bayesian reinforcement learning. J. Mach. Learn. Res. Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas
2014	J	`jnl`	Generalised Entropy MDPs and Minimax Regret. CoRR Emmanouil G. Androulakis, Christos Dimitrakakis
2014	Misc	`conf`	On the Leakage of Information in Biometric Authentication. INDOCRYPT Elena Pagnin, Christos Dimitrakakis, Aysajan Abidin, Aikaterini Mitrokotsa
2014	J	`jnl`	Probabilistic inverse reinforcement learning in unknown environments. CoRR Aristide C. Y. Tossou, Christos Dimitrakakis
2014	—	`ed.`	Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop, AISec 2014, Scottsdale, AZ, USA, November 7, 2014 AISec@CCS Christos Dimitrakakis, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein, Gail-Joon Ahn
2014	B	`conf`	Robust and Private Bayesian Inference. ALT Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein
2014	J	`jnl`	The Reinforcement Learning Competition 2014. AI Mag. Christos Dimitrakakis, Guangliang Li, Nikolaos Tziortziotis
2014	A*	`conf`	Workshop Summary of AISec'14: 2014 Workshop on Artificial Intelligent and Security. CCS Christos Dimitrakakis, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein
2013	J	`jnl`	ABC Reinforcement Learning CoRR Christos Dimitrakakis, Nikolaos Tziortziotis
2013	—	`conf`	ABC Reinforcement Learning. ICML (3) Christos Dimitrakakis, Nikolaos Tziortziotis
2013	—	`ed.`	AISec'13, Proceedings of the 2013 ACM Workshop on Artificial Intelligence and Security, Co-located with CCS 2013, Berlin, Germany, November 4, 2013 AISec Ahmad-Reza Sadeghi, Blaine Nelson, Christos Dimitrakakis, Elaine Shi
2013	J	`jnl`	Cover Tree Bayesian Reinforcement Learning CoRR Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas
2013	—	`ch.`	Generalization and Interference in Human Motor Control. Computational and Robotic Models of the Hierarchical Organization of Behavior Luca Lonini, Christos Dimitrakakis, Constantin A. Rothkopf, Jochen Triesch
2013	J	`jnl`	Intrusion detection in MANET using classification algorithms: The effects of cost and model selection. Ad Hoc Networks Aikaterini Mitrokotsa, Christos Dimitrakakis
2013	A*	`conf`	Linear Bayesian Reinforcement Learning. IJCAI Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas
2013	J	`jnl`	Monte-Carlo utility estimates for Bayesian reinforcement learning CoRR Christos Dimitrakakis
2013	—	`conf`	Monte-Carlo utility estimates for Bayesian reinforcement learning. CDC Christos Dimitrakakis
2013	J	`jnl`	Network Self-Organization Explains the Statistics and Dynamics of Synaptic Connection Strengths in Cortex. PLoS Comput. Biol. Pengsheng Zheng, Christos Dimitrakakis, Jochen Triesch
2013	J	`jnl`	On Selecting the Nonce Length in Distance-Bounding Protocols. Comput. J. Aikaterini Mitrokotsa, Pedro Peris-Lopez, Christos Dimitrakakis, Serge Vaudenay
2013	J	`jnl`	Personalized News Recommendation with Context Trees CoRR Florent Garcin, Christos Dimitrakakis, Boi Faltings
2013	A	`conf`	Personalized news recommendation with context trees. RecSys Florent Garcin, Christos Dimitrakakis, Boi Faltings
2013	A	`conf`	Probabilistic inverse reinforcement learning in unknown environments. UAI Aristide C. Y. Tossou, Christos Dimitrakakis
2013	J	`jnl`	Probabilistic inverse reinforcement learning in unknown environments. CoRR Aristide C. Y. Tossou, Christos Dimitrakakis
2013	J	`jnl`	Robust, Secure and Private Bayesian Inference. CoRR Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein
2013	A*	`conf`	Summary/overview for artificial intelligence and security (AISec'13). CCS Blaine Nelson, Christos Dimitrakakis, Elaine Shi
2012	A*	`conf`	DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems. AAAI Brammert Ottens, Christos Dimitrakakis, Boi Faltings
2012	A*	`conf`	Expected loss bounds for authentication in constrained channels. INFOCOM Christos Dimitrakakis, Aikaterini Mitrokotsa, Serge Vaudenay
2012	J	`jnl`	Guest Editors' Introduction: Special Section on Learning, Games, and Security. IEEE Trans. Dependable Secur. Comput. Christos Dimitrakakis, Tom Karygiannis, Aikaterini Mitrokotsa
2012	J	`jnl`	Near-Optimal Node Blacklisting in Adversarial Networks CoRR Christos Dimitrakakis, Aikaterini Mitrokotsa
2012	J	`jnl`	Sparse Reward Processes CoRR Christos Dimitrakakis
2011	—	`conf`	Bayesian Multitask Inverse Reinforcement Learning. EWRL Christos Dimitrakakis, Constantin A. Rothkopf
2011	J	`jnl`	Bayesian multitask inverse reinforcement learning CoRR Christos Dimitrakakis, Constantin A. Rothkopf
2011	J	`jnl`	Phoneme and Sentence-Level Ensembles for Speech Recognition. EURASIP J. Audio Speech Music. Process. Christos Dimitrakakis, Samy Bengio
2011	—	`conf`	Preference Elicitation and Inverse Reinforcement Learning. ECML/PKDD (3) Constantin A. Rothkopf, Christos Dimitrakakis
2011	J	`jnl`	Preference elicitation and inverse reinforcement learning CoRR Constantin A. Rothkopf, Christos Dimitrakakis
2011	—	`ed.`	Privacy and Security Issues in Data Mining and Machine Learning - International ECML/PKDD Workshop, PSDML 2010, Barcelona, Spain, September 24, 2010. Revised Selected Papers PSDML Christos Dimitrakakis, Aris Gkoulalas-Divanis, Aikaterini Mitrokotsa, Vassilios S. Verykios, Yücel Saygin
2011	—	`conf`	Robust Bayesian Reinforcement Learning through Tight Lower Bounds. EWRL Christos Dimitrakakis
2011	J	`jnl`	Robust Bayesian reinforcement learning through tight lower bounds CoRR Christos Dimitrakakis
2010	A	`conf`	Bayesian variable order Markov models. AISTATS Christos Dimitrakakis
2010	—	`conf`	Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning. ICAART (1) Christos Dimitrakakis
2010	J	`jnl`	Context models on sequences of covers CoRR Christos Dimitrakakis
2010	—	`ch.`	Efficient Methods for Near-Optimal Sequential Decision Making under Uncertainty. Interactive Collaborative Information Systems Christos Dimitrakakis
2010	J	`jnl`	Expected loss analysis of thresholded authentication protocols in noisy conditions CoRR Christos Dimitrakakis, Aikaterini Mitrokotsa, Serge Vaudenay
2010	J	`jnl`	Reid et al.'s distance bounding protocol and mafia fraud attacks over noisy channels. IEEE Commun. Lett. Aikaterini Mitrokotsa, Christos Dimitrakakis, Pedro Peris-Lopez, Julio César Hernández Castro
2009	J	`jnl`	Complexity of stochastic branch and bound methods for belief tree search in Bayesian reinforcement learning CoRR Christos Dimitrakakis
2009	C	`conf`	Statistical Decision Making for Authentication and Intrusion Detection. ICMLA Christos Dimitrakakis, Aikaterini Mitrokotsa
2009	J	`jnl`	Statistical Decision Making for Authentication and Intrusion Detection. CoRR Christos Dimitrakakis, Aikaterini Mitrokotsa
2009	J	`jnl`	Tree Exploration for Bayesian RL Exploration. CoRR Christos Dimitrakakis
2008	—	`conf`	Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration. EWRL Christos Dimitrakakis, Michail G. Lagoudakis
2008	J	`jnl`	Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration. CoRR Christos Dimitrakakis, Michail G. Lagoudakis
2008	—	`conf`	Cost-Minimising Strategies for Data Labelling: Optimal Stopping and Active Learning. FoIKS Christos Dimitrakakis, Christian Savu-Krohn
2008	J	`jnl`	Intrusion Detection Using Cost-Sensitive Classification CoRR Aikaterini Mitrokotsa, Christos Dimitrakakis, Christos Douligeris
2008	J	`jnl`	Rollout Sampling Approximate Policy Iteration CoRR Christos Dimitrakakis, Michail G. Lagoudakis
2008	—	`conf`	Rollout Sampling Approximate Policy Iteration. ECML/PKDD (1) Christos Dimitrakakis, Michail G. Lagoudakis
2008	J	`jnl`	Rollout sampling approximate policy iteration. Mach. Learn. Christos Dimitrakakis, Michail G. Lagoudakis
2008	—	`conf`	Tree Exploration for Bayesian RL Exploration. CIMCA/IAWTIC/ISE Christos Dimitrakakis
2007	J	`jnl`	Cost-minimising strategies for data labelling : optimal stopping and active learning CoRR Christos Dimitrakakis, Christian Savu-Krohn
2006	—	`—`	Ensembles for sequence learning. Christos Dimitrakakis
2006	—	`conf`	Nearly Optimal Exploration-Exploitation Decision Thresholds. ICANN (1) Christos Dimitrakakis
2006	J	`jnl`	Nearly optimal exploration-exploitation decision thresholds CoRR Christos Dimitrakakis
2005	—	`conf`	Boosting word error rates. ICASSP (5) Christos Dimitrakakis, Samy Bengio
2005	J	`jnl`	Online adaptive policies for ensemble classifiers. Neurocomputing Christos Dimitrakakis, Samy Bengio
2004	—	`conf`	Boosting HMMs with an application to speech recognition. ICASSP (5) Christos Dimitrakakis, Samy Bengio
2004	B	`conf`	Online policy adaptation for ensemble classifiers. ESANN Christos Dimitrakakis, Samy Bengio