Christos Dimitrakakis

Professor - PROG Programmering
Bilde av Christos Dimitrakakis
English version of this page
Mobiltelefon +467294744779
Brukernavn
Besøksadresse Gaustadalléen 23B 0373 Oslo
Postadresse Postboks 1080 0316 Oslo

Jeg er forsker innen Maskinlæring og mine viktigste interesser er:

  1. Forsterkende læring.
  2. Sosiale aspekter ved AI (e.g. rettferdighet),
  3. Personvern (esp. Differential Privacy)

Undervisning

Jeg underviser IN-STK5000Adaptive methods for data-based decision making, med emner:

  • Grafiske modeller og Bayesiansk inferens
  • Beslutningsteori
  • Reproduserbarhet i datadrevet vitenskap
  • Personvern
  • Rettferdighet
  • Kausalitet
  • Adaptiv experimentdesign
  • Introduksjon til Markov beslutningsprosesser
Emneord: maskinlæring, reinforcement learning, differential privacy, Kunstig intelligens, personvern

Publikasjoner

  • 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 [Vis alle 7 forfattere av denne artikkelen] (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).

Se alle arbeider i Cristin

  • 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.

Se alle arbeider i Cristin

Publisert 16. okt. 2019 09:40