Andreas Krause
homepage:http://las.ethz.ch/krausea.html
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Description

Andreas Krause is an Assistant Professor of Computer Science (tenure-track) at ETH Zurich, where he leads the Learning & Adaptive Systems Group (since 2011). Before that he was Assistant Professor of Computer Science at Caltech (2009-2012). He received his Ph.D. and M.Sc. in Computer Science from Carnegie Mellon University (2008) and his Diplom in Computer Science and Mathematics from the Technical University of Munich, Germany (2004). He is a Microsoft Research Faculty Fellow and a Kavli Frontiers Fellow of the US National Academy of Sciences. He received an ERC Starting Investigator grant, the Deutscher Mustererkennungspreis, an NSF CAREER award, the Okawa Foundation Research Grant recognizing top young researchers in telecommunications as well as the ETH Golden Owl teaching award. His research 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 received awards at several premier conferences (AAAI, KDD, IPSN, ICML, UAI) and journals (JAIR, JWRPM).


Lectures:

invited talk
flag From Proteins to Robots: Learning to Optimize with Confidence
as author at  30th AAAI Conference on Artificial Intelligence, Phoenix 2016,
12 views
  tutorial
flag Submodularity in Machine Learning and Vision
as author at  British Machine Vision Conference (BMVC), Bristol 2013,
192 views
panel
flag Panel Discussion
as author at  International Workshop on Regression in Robotics - Approaches and Applications, Seattle 2009,
together with: Christian Plagemann, Dieter Fox, Raia Hadsell, Pieter Abbeel, Nicholas Roy, Jo-Anne Ting, Rajesh P. N. Rao, Jan Peters,
384 views
  lecture
flag Optimized Information Gatheringin Robotics and Sensor Networks
as author at  International Workshop on Regression in Robotics - Approaches and Applications, Seattle 2009,
304 views