Christos Dimitrakakis

Professor - Programming
Image of Christos Dimitrakakis
Norwegian version of this page
Mobile phone +467294744779
Username
Visiting address Gaustadalléen 23B 0373 Oslo
Postal address Postboks 1080 0316 Oslo

Available positions

Two PhD positions in reinforcement learning, fairness or privacy. Apply by 31 May 2022

Research interests

  • Artificial intelligence and society
  • Differential privacy
  • Reinforcement learning
Tags: reinforcement learning, machine learning, differential privacy, fairness, decision making under uncertainty, artificial intelligence, adversarial machine learning, Bayesian inference, autonomous vehicles, recommendation systems

Publications

  • Segal, Meirav; George, Anne-Marie & Dimitrakakis, Christos (2022). Simulating University Application Data for Fair Matchings. Communications in Computer and Information Science. ISSN 1865-0929.
  • Kleine Büning, Thomas; George, Anne-Marie & Dimitrakakis, Christos (2022). Interactive Inverse Reinforcement Learning for Cooperative Games. Proceedings of Machine Learning Research (PMLR). ISSN 2640-3498.
  • Dimitrakakis, Christos; Liu, Yang; Parkes, David C. & Radanovic, Goran (2019). Bayesian fairness, Proceedings of the AAAI Conference on Artificial Intelligence. AAAI Press. ISSN 978-1-57735-809-1. doi: https%3A/doi.org/10.1609/aaai.v33i01.3301509.
  • Ekström, Andreas; Forssen, Christian; Dimitrakakis, Christos; Dubhashi, Devdatt; Johansson, H. T. & Salomonsson, Hans [Show all 7 contributors for this article] (2019). Bayesian optimization in ab initio nuclear physics . Journal of Physics G: Nuclear and Particle Physics. ISSN 0954-3899. 46(9). doi: 10.1088/1361-6471/ab2b14.
  • Dimitrakakis, Christos; Nelson, Blaine; Zhang, Zuhe; Mitrokotsa, Aikateirni & Rubinstein, Benjamin I.P. (2017). Differential privacy for Bayesian inference through posterior sampling. Journal of machine learning research. ISSN 1532-4435. 18(1).

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  • Kleine Büning, Thomas; George, Anne-Marie & Dimitrakakis, Christos (2021). Interactive Inverse Reinforcement Learning for Cooperative Games.
  • Dimitrakakis, Christos (2020). Differential privacy in energy systems.
  • Jorge, Emilio; Eriksson, Hannes; Dimitrakakis, Christos; Basu, Debabrota & Grover, Divya (2020). Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning.
  • Eriksson, Hannes & Dimitrakakis, Christos (2020). Epistemic Risk-Sensitive Reinforcement Learning .
  • Grover, Divya; Basu, Debabrota & Dimitrakakis, Christos (2020). Bayesian Reinforcement Learning via Deep, Sparse Sampling.
  • Tossou, Aristide; Dimitrakakis, Christos; Rzepecki, Jaroslaw & Hofmann, Katja (2020). A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandits: Algorithms and Regret Bounds.
  • Boroujeni, Mahrokh Ghoddousi; Fay, Dominik; Dimitrakakis, Christos & Kamgarpour, Maryam (2019). Privacy of Real-Time Pricing in Smart Grid.
  • Dimitrakakis, Christos; Liu, Yang; Parkes, David C. & Radanovic, Goran (2019). Bayesian fairness.
  • Dimitrakakis, Christos; Parkes, David C.; Radanovic, Goran & Tylkin, Paul (2017). Multi-View Decision Processes: The Helper-AI Problem.

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Published Nov. 8, 2018 11:09 AM - Last modified May 13, 2022 6:17 AM