Christos Dimitrakakis

Research interests

• Artificial intelligence and society
• Differential privacy
• Reinforcement learning

Teaching

Autumn semester: IN-STK5000, Adaptive methods for data-based decision making, which is a course on:

• Graphical models and Bayesian inference
• Decision theory
• Reproducibility in data-driven science
• Privacy
• Fairness
• Causality
• Adaptive experiment design
• Markov decision processes (introductory)

Spring semester: IN-STK5100,  Reinforcement learning and decision making under uncertainty, which is a course on 

• Decision theory
• Concentration inequalities and PAC theory
• Bandit theory
• Markov decision process theory
• Reinforcement learning
• Stochastic approximation
• Regret bounds

Personal website

Book on Reinforcement Learning and Decision Making Under Uncertainty

Course notes on Machine Learning in Science and Society

Group:

• Anne-Marie George, Postdoc
• Thomas Kleine Buening, PhD student
• Meirav Segal, PhD student
• Hannes Eriksson, PhD student
• Divya Grover, PhD student
• Emilio Jorge, PhD student

Alumni

• Debabrota Basu, Now Researcher at INRIA-Lille
• Aristide Tossou, Now AI Researcher at LG