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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer. - Eriksson, Hannes; Basu, Debabrota; Tram, Tommy; Alibeigi, Mina; Dimitrakakis, Christos (CoRR, 2023)

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

Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation. - Buening, Thomas Kleine; Saha, Aadirupa; Dimitrakakis, Christos; Xu, Haifeng (CoRR, 2023)

Eliciting Kemeny Rankings. - George, Anne-Marie; Dimitrakakis, Christos (CoRR, 2023)

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

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

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

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

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

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

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

SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning. - Eriksson, Hannes; Basu, Debabrota; Alibeigi, Mina; Dimitrakakis, Christos (CoRR, 2021)

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

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

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

Interactive Inverse Reinforcement Learning for Cooperative Games. - Buening, Thomas Kleine; George, Anne-Marie; Dimitrakakis, Christos (CoRR, 2021)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Epistemic Risk-Sensitive Reinforcement Learning. - Eriksson, Hannes; Dimitrakakis, Christos (CoRR, 2019)

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

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

VIVO: A secure, privacy-preserving, and real-time crowd-sensing framework for the Internet of Things. - Luceri, Luca; Cardoso, Felipe; Papandrea, Michela; Giordano, Silvia; Buwaya, Julia; Kuendig, Stéphane; Angelopoulos, Constantinos Marios; Rolim, José D. P.; Zhao, Zhongliang; Carrera, Jose Luis; Braun, Torsten; Tossou, Aristide C. Y.; et al. (Pervasive Mob. Comput., 2018)

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

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

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

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

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

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

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

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

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

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

Achieving Privacy in the Adversarial Multi-Armed Bandit. - Tossou, Aristide C. Y.; Dimitrakakis, Christos (CoRR, 2017)

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

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

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

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

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

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

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

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

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

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

Synergistic User ⟷ Context Analytics. - Hossmann-Picu, Andreea; Li, Zan; Zhao, Zhongliang; Braun, Torsten; Angelopoulos, Constantinos Marios; Evangelatos, Orestis; Rolim, José D. P.; Papandrea, Michela; Garg, Kamini; Giordano, Silvia; Tossou, Aristide C. Y.; Dimitrakakis, Christos; et al. (2015)

Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security, AISec 2015, Denver, Colorado, USA, October 16, 2015 (ACM, 2015)

Algorithms for Differentially Private Multi-Armed Bandits. - Tossou, Aristide C. Y.; Dimitrakakis, Christos (CoRR, 2015)

On the Differential Privacy of Bayesian Inference. - Zhang, Zuhe; Rubinstein, Benjamin I. P.; Dimitrakakis, Christos (CoRR, 2015)

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

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

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

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

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

Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop, AISec 2014, Scottsdale, AZ, USA, November 7, 2014 (ACM, 2014)

Probabilistic inverse reinforcement learning in unknown environments. - Tossou, Aristide C. Y.; Dimitrakakis, Christos (CoRR, 2014)

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

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

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

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

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

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

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

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

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

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

Generalization and Interference in Human Motor Control. - Lonini, Luca; Dimitrakakis, Christos; Rothkopf, Constantin A.; Triesch, Jochen (2013)

AISec'13, Proceedings of the 2013 ACM Workshop on Artificial Intelligence and Security, Co-located with CCS 2013, Berlin, Germany, November 4, 2013 (ACM, 2013)

Personalized News Recommendation with Context Trees - Garcin, Florent; Dimitrakakis, Christos; Faltings, Boi (CoRR, 2013)

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

ABC Reinforcement Learning - Dimitrakakis, Christos; Tziortziotis, Nikolaos (CoRR, 2013)

Cover Tree Bayesian Reinforcement Learning - Tziortziotis, Nikolaos; Dimitrakakis, Christos; Blekas, Konstantinos (CoRR, 2013)

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

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

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

DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems. - Ottens, Brammert; Dimitrakakis, Christos; Faltings, Boi (2012)

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

Sparse Reward Processes - Dimitrakakis, Christos (CoRR, 2012)

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

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

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

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

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

Privacy and Security Issues in Data Mining and Machine Learning - International ECML/PKDD Workshop, PSDML 2010, Barcelona, Spain, September 24, 2010. Revised Selected Papers (Springer, 2011)

Preference elicitation and inverse reinforcement learning - Rothkopf, Constantin A.; Dimitrakakis, Christos (CoRR, 2011)

Robust Bayesian reinforcement learning through tight lower bounds - Dimitrakakis, Christos (CoRR, 2011)

Bayesian multitask inverse reinforcement learning - Dimitrakakis, Christos; Rothkopf, Constantin A. (CoRR, 2011)

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

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

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

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

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

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

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

Tree Exploration for Bayesian RL Exploration. - Dimitrakakis, Christos (CoRR, 2009)

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

Complexity of stochastic branch and bound methods for belief tree search in Bayesian reinforcement learning - Dimitrakakis, Christos (CoRR, 2009)

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

Tree Exploration for Bayesian RL Exploration. - Dimitrakakis, Christos (2008)

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

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

Rollout Sampling Approximate Policy Iteration. - Dimitrakakis, Christos; Lagoudakis, Michail G. (2008)

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

Rollout Sampling Approximate Policy Iteration - Dimitrakakis, Christos; Lagoudakis, Michail G. (CoRR, 2008)

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

Cost-minimising strategies for data labelling : optimal stopping and active learning - Dimitrakakis, Christos; Savu-Krohn, Christian (CoRR, 2007)

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

Nearly optimal exploration-exploitation decision thresholds - Dimitrakakis, Christos (CoRR, 2006)

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

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

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

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