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
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)
(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
Bayesian Reinforcement Learning via Deep, Sparse Sampling, AISTATS 2020.
Bayesian fairness, AAAI 2019.
Calibrated fairness In bandits, FATML-17.