Welcome to the Learning & Adaptive Systems Group at the Department of Computer Science at ETH Zurich. The group is led by Andreas Krause.

Our research is in learning and adaptive systems that actively acquire information, reason and make decisions in large, distributed and uncertain domains, such as sensor networks and the Web. The theoretical aspects include statistical machine learning (online, active, large-scale, ...), probabilistic reasoning and optimization (in particular submodular and non-convex optimization). We devise new algorithms, build models, analyze large and complex data sets and develop systems that can automatically acquire and reason about highly uncertain information. Our application domains include community seismic and traffic sensing, computational sustainability, optimal experimental design and information gathering on the web. See more details here.