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 make decisions in complex and uncertain domains, such as sensor networks, robotics and the Web. The theoretical aspects include statistical machine learning (online, active, reinforcement, large-scale, …), probabilistic reasoning and optimization (submodular, non-convex, …).

Recent Publications

  • Consistent Online Optimization: Convex and Submodular
  • , , ,
  • In International Conference on Artificial Intelligence and Statistics (AISTATS),
  • [bibtex] [abstract]