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

• Michael Black (MPI for Intelligent Systems) will speak on Learning Human Body Shape
• Olivier Bousquet (Google) will speak on Machine Learning in Industry
• Stephen Boyd (Stanford) will speak on Optimization
• Tamara Broderick (MIT, ex Berkeley) will speak on Bayesian Nonparametrics
• Rob Fergus (Facebook / NYU) will speak on Neural Networks
• Zoubin Ghahramani (Cambridge) will speak on Bayesian Inference
• Arthur Gretton (UCL) will speak on Kernels
• Ralf Herbrich (Amazon) will speak on Machine Learning in Industry
• Neil Lawrence (Sheffield) will speak on Gaussian Processes
• Ulrike von Luxburg (University of Hamburg) will speak on Learning Theory
• Jonas Peters (ETH Zürich, MPI for Intelligent Systems) will speak on Causality
• Stefan Schaal (MPI for Intelligent Systems) will speak on Learning Robots
• Chris Watkins (Royal Holloway) will speak on Reinforcement Learning
• Bernhard Schölkopf (MPI for Intelligent Systems) will speak on Causality
• Philipp Hennig (MPI for Intelligent Systems) will speak on Probabilistic Numerical Methods
• Michael Hirsch (MPI for Intelligent Systems) will speak on Computational Imaging

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.

For more information visit http://mlss.tuebingen.mpg.de/2015/application.html

Important Dates

* Monday 12 Jaunary 2015 application system opens
* Thursday 12 February 2015 DEADLINE FOR APPLICATIONS
* Thursday 12 March 2015 notification of acceptance

The school takes place from Monday 13 July to Friday 24 July 2015

Organizers

Michael Hirsch Philipp Hennig Bernhard Schölkopf

Inquiries should be directed to [email protected]