Christos Dimitrakakis

Research interests

• Decision theory

• Reinforcement learning

• Machine learning and Statistics

• Security, Privacy and Fairness

Group members and collaborators

• Debabrota Basu, Postdoctoral researcher

• Hannes Eriksson (Chalmers), PhD student on Safe Autonomous Vehicles.

• Divya Grover (Chalmers), PhD student on Reinforcement Learning under Information and Computation Constraints.

• Emilio Jorge (Chalmers), PhD student on Reinforcement Learning.

• Aristide Tossou (Chalmers), PhD (2019) on Secure and Private Machine Learning and Decision Making. Now at LG AI.

• David Parkes (Harvard), Professor.

• Paul Tylkin (Harvard), PhD student (David Parkes).

• Goran Radanovic (MPI SWS), Group Leader.

• Yang Liu (UCSC), Professor.

• Ronald Ortner (University of Leoben), Professor

• Maryam Kamgarpour (ETHZ), Assistant Professor

Teaching

• Adaptive methods for data-based decision making (Oslo, Autumn)

• Advanced topics in Reinforcement Learning and Decision Making (Chalmers, Spring)

• Reinforcement Learning for Autonomous Vehicles (Chalmers, Autumn)

• Database design (Lille)

• Data mining (Lille)

• Web fundamentals (Lille)

• Decision making under uncertainty

  • (Chalmers, University of Tokyo)

• Algorithms, data structures and logic (Chalmers, 2014/2015 3)

• Artificial Intelligence (Chalmers, period 4, 2013/2014)

Selected recent papers

• Inferential Induction, arXiv, 2020

• A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandit: Algorithms and Regret Bounds, AAMAS 2020

• Bayesian Reinforcement Learning via Deep, Sparse Sampling, AISTATS 2020.

• Bayesian fairness, AAAI 2019.

• Multi-View Decision Processes, [poster] [video] [slides] NIPS 2017.

• Calibrated fairness In bandits, FATML-17.

• Differential privacy for Bayesian Inference through posterior sampling, JMLR, 2017.

• Achieving privacy in the adversarial multi-armed bandit, AAAI 2017.