Christos Dimitrakakis

Hortence Nana (Neuchatel), PhD student
Elif Ylimaz (Neuchatel), PhD student
Jakub Tluczek (Neuchatel), PhD student
Victor Villin (Neuchatel), PhD student on reinforcement learning.
Andreas Athanasopoulos (Neuchatel), PhD student on fairness.
Anne-Marie George (Oslo), Postdoctoral researcher on computational social choice under uncertainty.
Meirav Segal (Oslo), PhD Student on fairness in AI.
Emilio Jorge (Chalmers), PhD student on uncertainty in reinforcement learning .

26 July 2024: ICML Workshop on Models of Human Feedback for AI Alignment, organised with Thomas Buening, Harshit Sikchi, Scott Niekum, Constantin Rothkopf, Aadirupa Saha, Lirong Xia

Reinforcement learning
- Collaborative AI
- Efficient Exploration
- Safety and Risk
Differential privacy
Fairness
Bayesian inference and uncertainty

I offer MSc theses in the above areas.

Machine Learning: Theory, Fairness, Privacy (MSc, Neuchatel, Autumn 24)
Introduction to Machine Learning (BSc, Neuchatel, Autumn 24)
Artificial Intelligence (BSc, Neuchatel, Spring 24)
Machine Learning and Data Mining (MSc, Neuchatel, Autumn 23)
Reinforcement Learning and Decision Making Under Uncertainty (Neuchatel, Spring 23)
Advanced topics in Learning and Decision Making (Neuchatel, Spring 23)
Fairness and Privacy in Machine Learning (Neuchatel, Autumn 22)
Advanced Topics in Learning, Privacy and Fairness (Neuchatel, Autumn 22)
Intuitive statistics (digital skills, data visualisation) (Neuchatel, Autumn 22)