Learning & Adaptive Systems Group

We are part of the Institute for Machine Learning at the Computer Science Department 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 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 (submodular, non-convex, …).

Recent Publications

  • Fast and Provably Good Seedings for k-Means
  • , , ,
  • In Neural Information Processing Systems (NIPS) (to appear),
  • Oral presentation
  • [bibtex] [abstract]