========================================================================== Dear Colleagues,
we are happy to announce the upcoming -------------------------------------------------------------------------- MACHINE LEARNING SUMMER SCHOOL at the Max Planck Institute for Intelligent Systems in Tübingen, Germany 26 August to 6 September 2013 http://mlss.tuebingen.mpg.de -------------------------------------------------------------------------- Overview -------------------------------------------------------------------------- The machine learning summer school provides graduate students and industry professionals with an intense learning experience on the theory and applications of modern machine learning. Over the course of two weeks, a panel of internationally renowned experts of the field will offer tutorials covering basic as well as advanced topics. Confirmed Speakers and Topics -------------------------------------------------------------------------- Yasemin Altun (Google) will speak on Structured Output Prediction Christopher Bishop (Microsoft Research) will speak on Graphical Models Léon Bottou (Microsoft Research) will speak on Multilayer Networks Peter Dayan (Gatsby Computational Neuroscience Unit) will speak on Cognitive Learning Zoubin Ghahramani (University of Cambridge) will speak on Bayesian Inference Ralf Herbrich (Amazon) will speak on Distributed Machine Learning at Scale Andreas Krause (ETH Zürich) will speak on Submodularity Stefan Schaal (Max Planck Institute for Intelligent Systems) will speak on Learning Robots Ingo Steinwart (University of Stuttgart) will speak on Learning Theory YeeWhye Teh (University of Oxford) will speak on Bayesian Nonparametrics Marc Toussaint (University of Stuttgart) will speak on Reinforcement Learning Stephen Wright (University of Wisconsin-Madison) will speak on Optimization Application process -------------------------------------------------------------------------- Applications are invited from graduate students, postdoctoral researchers and industry professionals looking to use, or already using machine learning methods in their work. This includes researchers in applied fields as well as students of machine learning itself. Prior experience is not strictly required, but helpful. A small number of travel stipends will be available. Applicants will be asked to submit a CV, a cover letter of up to 2000 characters, and a short letter of recommendation from one referee of their choice. We are also seeking to give participants a chance to discuss their own work with their peers and the speakers. Each applicant is thus invited to provide the title of a poster they would like to present at the school. Important Dates -------------------------------------------------------------------------- * Monday 11 February 2013 application system opens * Monday 11 March 2013 DEADLINE FOR APPLICATIONS * Friday 12 April 2013 notification of acceptance The school takes place from Monday 26 August to Friday 6 September 2013 Organizers -------------------------------------------------------------------------- Philipp Hennig Stefan Harmeling Bernhard Schölkopf inquiries should be directed to philipp.hen...@tuebingen.mpg.de ========================================================================== _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai