Online policy adaptation for ensemble classifiers. - Christos Dimitrakakis; Samy Bengio (ESANN, 2004)

Boosting HMMs with an application to speech recognition. - Christos Dimitrakakis; Samy Bengio (ICASSP (5), 2004)

Boosting word error rates. - Christos Dimitrakakis; Samy Bengio (ICASSP (5), 2005)

Online adaptive policies for ensemble classifiers. - Christos Dimitrakakis; Samy Bengio (Neurocomputing, 2005)

Nearly Optimal Exploration-Exploitation Decision Thresholds. - Christos Dimitrakakis (ICANN (1), 2006)

Tree Exploration for Bayesian RL Exploration. - Christos Dimitrakakis (CIMCA/IAWTIC/ISE, 2008)

Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration. - Christos Dimitrakakis; Michail G. Lagoudakis (EWRL, 2008)

Cost-Minimising Strategies for Data Labelling: Optimal Stopping and Active Learning. - Christos Dimitrakakis; Christian Savu-Krohn (FoIKS, 2008)

Intrusion Detection Using Cost-Sensitive Classification - Aikaterini Mitrokotsa; Christos Dimitrakakis; Christos Douligeris (CoRR, 2008)

Rollout sampling approximate policy iteration. - Christos Dimitrakakis; Michail G. Lagoudakis (Mach. Learn., 2008)

Statistical Decision Making for Authentication and Intrusion Detection. - Christos Dimitrakakis; Aikaterini Mitrokotsa (ICMLA, 2009)

Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning. - Christos Dimitrakakis (ICAART (1), 2010)

Context models on sequences of covers - Christos Dimitrakakis (CoRR, 2010)

Expected loss analysis of thresholded authentication protocols in noisy conditions - Christos Dimitrakakis; Aikaterini Mitrokotsa; Serge Vaudenay (CoRR, 2010)

Reid et al.'s distance bounding protocol and mafia fraud attacks over noisy channels. - Aikaterini Mitrokotsa; Christos Dimitrakakis; Pedro Peris-Lopez; Julio César Hernández Castro (IEEE Commun. Lett., 2010)

Bayesian variable order Markov models. - Christos Dimitrakakis (AISTATS, 2010)

Efficient Methods for Near-Optimal Sequential Decision Making under Uncertainty. - Christos Dimitrakakis (Interactive Collaborative Information Systems, 2010)

Robust Bayesian Reinforcement Learning through Tight Lower Bounds. - Christos Dimitrakakis (EWRL, 2011)

Bayesian Multitask Inverse Reinforcement Learning. - Christos Dimitrakakis; Constantin A. Rothkopf (EWRL, 2011)

Preference Elicitation and Inverse Reinforcement Learning. - Constantin A. Rothkopf; Christos Dimitrakakis (ECML/PKDD (3), 2011)

Phoneme and Sentence-Level Ensembles for Speech Recognition. - Christos Dimitrakakis; Samy Bengio (EURASIP J. Audio Speech Music. Process., 2011)

Expected loss bounds for authentication in constrained channels. - Christos Dimitrakakis; Aikaterini Mitrokotsa; Serge Vaudenay (INFOCOM, 2012)

Sparse Reward Processes - Christos Dimitrakakis (CoRR, 2012)

Near-Optimal Node Blacklisting in Adversarial Networks - Christos Dimitrakakis; Aikaterini Mitrokotsa (CoRR, 2012)

Guest Editors' Introduction: Special Section on Learning, Games, and Security. - Christos Dimitrakakis; Tom Karygiannis; Aikaterini Mitrokotsa (IEEE Trans. Dependable Secur. Comput., 2012)

Generalization and Interference in Human Motor Control. - Luca Lonini; Christos Dimitrakakis; Constantin A. Rothkopf; Jochen Triesch (Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013)

Summary/overview for artificial intelligence and security (AISec'13). - Blaine Nelson; Christos Dimitrakakis; Elaine Shi (CCS, 2013)

Monte-Carlo utility estimates for Bayesian reinforcement learning. - Christos Dimitrakakis (CDC, 2013)

ABC Reinforcement Learning. - Christos Dimitrakakis; Nikolaos Tziortziotis (ICML (3), 2013)

Linear Bayesian Reinforcement Learning. - Nikolaos Tziortziotis; Christos Dimitrakakis; Konstantinos Blekas (IJCAI, 2013)

Personalized news recommendation with context trees. - Florent Garcin; Christos Dimitrakakis; Boi Faltings (RecSys, 2013)

Probabilistic inverse reinforcement learning in unknown environments. - Aristide C. Y. Tossou; Christos Dimitrakakis (UAI, 2013)

Intrusion detection in MANET using classification algorithms: The effects of cost and model selection. - Aikaterini Mitrokotsa; Christos Dimitrakakis (Ad Hoc Networks, 2013)

On Selecting the Nonce Length in Distance-Bounding Protocols. - Aikaterini Mitrokotsa; Pedro Peris-Lopez; Christos Dimitrakakis; Serge Vaudenay (Comput. J., 2013)

Robust, Secure and Private Bayesian Inference. - Christos Dimitrakakis; Blaine Nelson; Aikaterini Mitrokotsa; Benjamin I. P. Rubinstein (CoRR, 2013)

Network Self-Organization Explains the Statistics and Dynamics of Synaptic Connection Strengths in Cortex. - Pengsheng Zheng; Christos Dimitrakakis; Jochen Triesch (PLoS Comput. Biol., 2013)

Robust and Private Bayesian Inference. - Christos Dimitrakakis; Blaine Nelson; Aikaterini Mitrokotsa; Benjamin I. P. Rubinstein (ALT, 2014)

Workshop Summary of AISec'14: 2014 Workshop on Artificial Intelligent and Security. - Christos Dimitrakakis; Aikaterini Mitrokotsa; Benjamin I. P. Rubinstein (CCS, 2014)

On the Leakage of Information in Biometric Authentication. - Elena Pagnin; Christos Dimitrakakis; Aysajan Abidin; Aikaterini Mitrokotsa (INDOCRYPT, 2014)

The Reinforcement Learning Competition 2014. - Christos Dimitrakakis; Guangliang Li; Nikolaos Tziortziotis (AI Mag., 2014)

Generalised Entropy MDPs and Minimax Regret. - Emmanouil G. Androulakis; Christos Dimitrakakis (CoRR, 2014)

Cover tree Bayesian reinforcement learning. - Nikolaos Tziortziotis; Christos Dimitrakakis; Konstantinos Blekas (J. Mach. Learn. Res., 2014)

Optimal Advertisement Strategies for Small and Big Companies. - Aristide C. Y. Tossou; Christos Dimitrakakis (AFRICOMM, 2015)

Workshop Summary of AISec'15: 2015 Workshop on Artificial Intelligent and Security. - Christos Dimitrakakis; Aikaterini Mitrokotsa; Arunesh Sinha (CCS, 2015)

Synergistic User ⟷ Context Analytics. - Andreea Hossmann-Picu; Zan Li 002; 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; et al. (ICT Innovations, 2015)

Distance-Bounding Protocols: Are You Close Enough? - Christos Dimitrakakis; Aikaterini Mitrokotsa (IEEE Secur. Priv., 2015)

Expected loss analysis for authentication in constrained channels. - Christos Dimitrakakis; Aikaterini Mitrokotsa; Serge Vaudenay (J. Comput. Secur., 2015)

Algorithms for Differentially Private Multi-Armed Bandits. - Aristide C. Y. Tossou; Christos Dimitrakakis (AAAI, 2016)

On the Differential Privacy of Bayesian Inference. - Zuhe Zhang; Benjamin I. P. Rubinstein; Christos Dimitrakakis (AAAI, 2016)

Achieving Privacy in the Adversarial Multi-Armed Bandit. - Aristide Charles Yedia Tossou; Christos Dimitrakakis (AAAI, 2017)

Thompson Sampling for Stochastic Bandits with Graph Feedback. - Aristide C. Y. Tossou; Christos Dimitrakakis; Devdatt P. Dubhashi (AAAI, 2017)

Adaptive sampling-based view planning under time constraints. - Lars Kunze; Mohan Sridharan; Christos Dimitrakakis; Jeremy L. Wyatt (ECMR, 2017)

A Differentially Private Encryption Scheme. - Carlo Brunetta; Christos Dimitrakakis; Bei Liang; Aikaterini Mitrokotsa (ISC, 2017)

Multi-View Decision Processes: The Helper-AI Problem. - Christos Dimitrakakis; David C. Parkes; Goran Radanovic; Paul Tylkin (NIPS, 2017)

Bayesian Inference for Least Squares Temporal Difference Regularization. - Nikolaos Tziortziotis; Christos Dimitrakakis (ECML/PKDD (2), 2017)

Near-optimal blacklisting. - Christos Dimitrakakis; Aikaterini Mitrokotsa (Comput. Secur., 2017)

Subjective fairness: Fairness is in the eye of the beholder. - Christos Dimitrakakis; Yang Liu 018; David C. Parkes; Goran Radanovic (CoRR, 2017)

Learning to Match. - Philip Ekman; Sebastian Bellevik; Christos Dimitrakakis; Aristide C. Y. Tossou (CoRR, 2017)

Calibrated Fairness in Bandits. - Yang Liu 018; Goran Radanovic; Christos Dimitrakakis; Debmalya Mandal; David C. Parkes (CoRR, 2017)

Differential Privacy for Bayesian Inference through Posterior Sampling. - Christos Dimitrakakis; Blaine Nelson; Zuhe Zhang; Aikaterini Mitrokotsa; Benjamin I. P. Rubinstein (J. Mach. Learn. Res., 2017)

DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems. - Brammert Ottens; Christos Dimitrakakis; Boi Faltings (ACM Trans. Intell. Syst. Technol., 2017)

On The Differential Privacy of Thompson Sampling With Gaussian Prior. - Aristide C. Y. Tossou; Christos Dimitrakakis (CoRR, 2018)

VIVO: A secure, privacy-preserving, and real-time crowd-sensing framework for the Internet of Things. - 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; et al. (Pervasive Mob. Comput., 2018)

Bayesian Fairness. - Christos Dimitrakakis; Yang Liu 018; David C. Parkes; Goran Radanovic (AAAI, 2019)

Privacy of Real-Time Pricing in Smart Grid. - Mahrokh Ghoddousi Boroujeni; Dominik Fay; Christos Dimitrakakis; Maryam Kamgarpour (CDC, 2019)

Bayesian optimization in ab initio nuclear physics. - Andreas Ekström; Christian Forssén; Christos Dimitrakakis; Devdatt P. Dubhashi; Håkan T. Johansson; Azam Sheikh Muhammad; Hans Salomonsson; Alexander Schliep (CoRR, 2019)

Deeper & Sparser Exploration. - Divya Grover; Christos Dimitrakakis (CoRR, 2019)

Randomised Bayesian Least-Squares Policy Iteration. - Nikolaos Tziortziotis; Christos Dimitrakakis; Michalis Vazirgiannis (CoRR, 2019)

Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost? - Debabrota Basu; Christos Dimitrakakis; Aristide C. Y. Tossou (CoRR, 2019)

Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities. - Aristide C. Y. Tossou; Debabrota Basu; Christos Dimitrakakis (CoRR, 2019)

Near-Optimal Online Egalitarian learning in General Sum Repeated Matrix Games. - Aristide C. Y. Tossou; Christos Dimitrakakis; Jaroslaw Rzepecki; Katja Hofmann (CoRR, 2019)

Near-optimal Reinforcement Learning using Bayesian Quantiles. - Aristide C. Y. Tossou; Debabrota Basu; Christos Dimitrakakis (CoRR, 2019)

Program for TPDP 2016. - Gilles Barthe; Christos Dimitrakakis; Marco Gaboardi; Andreas Haeberlen; Aaron Roth 001; Aleksandra B. Slavkovic (J. Priv. Confidentiality, 2019)

Bayesian Reinforcement Learning via Deep, Sparse Sampling. - Divya Grover; Debabrota Basu; Christos Dimitrakakis (AISTATS, 2020)

A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandits: Algorithms and Regret Bounds. - Aristide C. Y. Tossou; Christos Dimitrakakis; Jaroslaw Rzepecki; Katja Hofmann (AAMAS, 2020)

Epistemic Risk-Sensitive Reinforcement Learning. - Hannes Eriksson; Christos Dimitrakakis (ESANN, 2020)

Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning. - Emilio Jorge; Hannes Eriksson; Christos Dimitrakakis; Debabrota Basu; Divya Grover (ICBINB@NeurIPS, 2020)

Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions. - Christos Dimitrakakis; Hannes Eriksson; Emilio Jorge; Divya Grover; Debabrota Basu (CoRR, 2020)

Fair Set Selection: Meritocracy and Social Welfare. - Thomas Kleine Buening; Meirav Segal; Debabrota Basu; Christos Dimitrakakis (CoRR, 2021)

Adaptive Belief Discretization for POMDP Planning. - Divya Grover; Christos Dimitrakakis (CoRR, 2021)

High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling. - Hannes Eriksson; Christos Dimitrakakis; Lars Carlsson (CoRR, 2021)

On Meritocracy in Optimal Set Selection. - Thomas Kleine Buening; Meirav Segal; Debabrota Basu; Anne-Marie George; Christos Dimitrakakis (EAAMO, 2022)

Interactive Inverse Reinforcement Learning for Cooperative Games. - Thomas Kleine Büning; Anne-Marie George; Christos Dimitrakakis (ICML, 2022)

Simulating University Application Data for Fair Matchings. - Meirav Segal; Anne-Marie George; Christos Dimitrakakis (NAIS, 2022)

SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning. - Hannes Eriksson; Debabrota Basu; Mina Alibeigi; Christos Dimitrakakis (UAI, 2022)

Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty. - Hannes Eriksson; Debabrota Basu; Mina Alibeigi; Christos Dimitrakakis (CoRR, 2022)

Environment Design for Inverse Reinforcement Learning. - Thomas Kleine Buening; Christos Dimitrakakis (CoRR, 2022)

Decision Making Under Uncertainty and Reinforcement Learning - Theory and Algorithms - Christos Dimitrakakis; Ronald Ortner (Springer, 2022)

Minimax-Bayes Reinforcement Learning. - Thomas Kleine Buening; Christos Dimitrakakis; Hannes Eriksson; Divya Grover; Emilio Jorge (AISTATS, 2023)

Policy Fairness and Unknown Bias Dynamics in Sequential Allocations. - Meirav Segal; Anne-Marie George; Christos Dimitrakakis (EAAMO, 2023)

Approximate Inference for the Bayesian Fairness Framework. - Andreas Nikolaos Athanasopoulos; Amanda Belfrage; David Berg Marklund; Christos Dimitrakakis (EWAF, 2023)

Eliciting Kemeny Rankings. - Anne-Marie George; Christos Dimitrakakis (AAAI, 2024)

Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer. - Hannes Eriksson; Tommy Tram; Debabrota Basu; Mina Alibeigi; Christos Dimitrakakis (AAMAS, 2024)

Threshold Recourse for Dynamic Allocations. - Meirav Segal; Anne-Marie George; Christos Dimitrakakis (EWAF, 2024)

Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation. - Thomas Kleine Buening; Aadirupa Saha; Christos Dimitrakakis; Haifeng Xu (ICLR, 2024)

Environment Design for Inverse Reinforcement Learning. - Thomas Kleine Buening; Victor Villin; Christos Dimitrakakis (ICML, 2024)

Strategic Linear Contextual Bandits. - Thomas Kleine Buening; Aadirupa Saha; Christos Dimitrakakis; Haifeng Xu (NeurIPS, 2024)

Better Luck Next Time: About Robust Recourse in Binary Allocation Problems. - Meirav Segal; Anne-Marie George; Ingrid Chieh Yu; Christos Dimitrakakis (xAI (3), 2024)

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret. - Emilio Jorge; Christos Dimitrakakis; Debabrota Basu (CoRR, 2024)

Probably Correct Optimal Stable Matching for Two-Sided Market Under Uncertainty. - Andreas Athanasopoulos; Anne-Marie George; Christos Dimitrakakis (AAMAS, 2025)

A Minimax Approach to Ad Hoc Teamwork. - Victor Villin; Thomas Kleine Buening; Christos Dimitrakakis (AAMAS, 2025)

Probably Correct Optimal Stable Matching for Two-Sided Markets Under Uncertainty. - Andreas Nikolaos Athanasopoulos; Anne-Marie George; Christos Dimitrakakis (CoRR, 2025)

Learning Equilibria in Matching Games with Bandit Feedback. - Andreas Nikolaos Athanasopoulos; Christos Dimitrakakis (CoRR, 2025)

Two-Player Zero-Sum Games with Bandit Feedback. - Elif Yilmaz; Christos Dimitrakakis (CoRR, 2025)

Fair Contracts in Principal-Agent Games with Heterogeneous Types. - Jakub Tluczek; Victor Villin; Christos Dimitrakakis (CoRR, 2025)