Dimitrakakis, Christos

30 publications

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

AAAI 2024 Eliciting Kemeny Rankings Anne-Marie George, Christos Dimitrakakis

ICML 2024 Environment Design for Inverse Reinforcement Learning Thomas Kleine Buening, Victor Villin, Christos Dimitrakakis

ICMLW 2024 Reinforcement Learning in the Wild with Maximum Likelihood-Based Model Transfer Hannes Eriksson, Tommy Tram, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis

NeurIPS 2024 Strategic Linear Contextual Bandits Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu

ICMLW 2023 Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu

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

NeurIPSW 2023 Robust Recourse for Binary Allocation Problems Meirav Segal, Anne-Marie George, Ingrid Yu, Christos Dimitrakakis

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

UAI 2022 SENTINEL: Taming Uncertainty with Ensemble Based Distributional Reinforcement Learning Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis

AISTATS 2020 Bayesian Reinforcement Learning via Deep, Sparse Sampling Divya Grover, Debabrota Basu, Christos Dimitrakakis

NeurIPSW 2020 Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning Emilio Jorge, Hannes Eriksson, Christos Dimitrakakis, Debabrota Basu, Divya Grover

AAAI 2019 Bayesian Fairness Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic

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

ECML-PKDD 2017 Bayesian Inference for Least Squares Temporal Difference Regularization Nikolaos Tziortziotis, Christos Dimitrakakis

JMLR 2017 Differential Privacy for Bayesian Inference Through Posterior Sampling Christos Dimitrakakis, Blaine Nelson, Zuhe Zhang, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein

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

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

AAAI 2016 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

JMLR 2014 Cover Tree Bayesian Reinforcement Learning Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas

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

ICML 2013 ABC Reinforcement Learning Christos Dimitrakakis, Nikolaos Tziortziotis

IJCAI 2013 Linear Bayesian Reinforcement Learning Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas

UAI 2013 Probabilistic Inverse Reinforcement Learning in Unknown Environments Aristide C. Y. Tossou, Christos Dimitrakakis

AAAI 2012 DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems Brammert Ottens, Christos Dimitrakakis, Boi Faltings

ECML-PKDD 2011 Preference Elicitation and Inverse Reinforcement Learning Constantin A. Rothkopf, Christos Dimitrakakis

AISTATS 2010 Bayesian Variable Order Markov Models Christos Dimitrakakis

ECML-PKDD 2008 Rollout Sampling Approximate Policy Iteration Christos Dimitrakakis, Michail G. Lagoudakis

MLJ 2008 Rollout Sampling Approximate Policy Iteration Christos Dimitrakakis, Michail G. Lagoudakis