Connectionists: Machine Learning Summer School 2015 in Tübingen, Germany

[Michael Hirsch]

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***                     APPLICATIONS NOW OPEN                          ***
***       http://mlss.tuebingen.mpg.de/2015/application.html           ***
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Dear Colleagues,

as previously announced applications are now welcome for the upcoming

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                     MACHINE LEARNING SUMMER SCHOOL
at the Max Planck Institute for Intelligent Systems in Tübingen, Germany
                          13 to 24 July 2015
                  http://mlss.tuebingen.mpg.de/2015/
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Overview
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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
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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
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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
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* 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
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Michael Hirsch              Philipp Hennig              Bernhard Schölkopf

inquiries should be directed to michael.hirsch at tuebingen.mpg.de
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