Christos Dimitrakakis

Debabrota Basu, Postdoctoral researcher
Hannes Eriksson (Chalmers), PhD student on Autonomous Vehicles.
Divya Grover (Chalmers), PhD student on Reinforcement Learning under Information and Computation Constraints.
Emilio Jorge (Chalmers), PhD student
Aristide Tossou (Chalmers), PhD student on Secure and Private Machine Learning and Decision Making.
David Parkes (Harvard), Professor.
Paul Tylkin (Harvard), PhD student (David Parkes).
Goran Radanovic (Harvard), Postdoc.
Yang Liu (UCSC), Professor.
Nikolaos Tziortziotis (Université Paris-Sud), Postdoc.
Ronald Ortner (University of Leoben), Professor
Maryam Kamgarpour (ETHZ), Assistant Professor

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)

Bayesian fairness, AAAI 2019.
Randomised Bayesian Least-Squares Policy Iteration, EWRL 2018.
Deeper and Sparser Sampling, ICML 2018 workshop on Exploration in Reinforcement Learning.
On the differential privacy of Thompson sampling with Gaussian prior, ICML 2018 workshop on Privacy in Machine Learning and Artificial Intelligence.
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.
Thompson sampling for stochastic bandits with graph feedback, AAAI 2017.