Learning & Adaptive Systems Group

We are part of the Institute for Machine Learning at the Department of Computer Science of ETH Zurich. The group is led by Andreas Krause. Our research is in learning and adaptive systems that actively acquire information, reason and reliably make decisions in complex and uncertain domains. The theoretical aspects include statistical machine learning (online, active, reinforcement, large-scale, …), probabilistic reasoning and optimization (submodular, non-convex, …), and we use our algorithms in real-world applications.

Recent Publications

News and Highlights