[visionlist] MLSS 2017 application deadline approaching

Ruth Urner ruth.urner at gmail.com
Sat Feb 4 01:59:36 EST 2017


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***       http://mlss.tuebingen.mpg.de/2017/application.html
<http://mlss.tuebingen.mpg.de/2015/application.html>           ***
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Dear Colleagues,

please note that the application deadline for the

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                    MACHINE LEARNING SUMMER SCHOOL
at the Max Planck Institute for Intelligent Systems in Tübingen, Germany
                         June 19 to 30, 2017
                 http://mlss.tuebingen.mpg.de/2017/
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is approaching. The deadline is this Friday, Feb 10, at 23.59 GMT.

Reference letters will be accepted till Friday, Feb 17, 23.59 GMT.


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
lectures and tutorials covering basic as well as advanced topics.

Confirmed Speakers
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Shai Ben-David (U Waterloo) - Learning Theory

Zoubin Ghahramani (Cambridge) - Bayesian Inference

Manuel Gomez Rodriguez (MPI for Software Systems) - tutorial on Networks

Stefanie Jegelka (MIT) - Submodularity

Michael Jordan (UC Berkeley) - Optimization: Distributed, Asynchronous,
Accelerated and Non-Convex.

Koray Kavukcuoglu (Deepmind) - Deep Learning for Agents

Jure Lescovec (Stanford) - Network Analysis

Ruslan Salakhutdinov (CMU) - Deep Learning

Suvrit Sra (MIT) - Optimization

Bernhard Schölkopf (MPI for Intelligent Systems) - Causality

Bharath Sriperumbudur (PennState) - Kernel Methods

Ilya Tolstikhin (MPI for Intelligent Systems) - tutorial on Theory

Ruth Urner (MPI for Intelligent Systems) - tutorial on Theory

Raquel Urtasun (Toronto) - Deep Structured Models


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.

The application system is now open.

For more information visit
http://mlss.tuebingen.mpg.de/2017/application.html

Important Dates
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* Fri, December 23, 2015     application system opens
* Fri, February 10, 2017     DEADLINE FOR APPLICATIONS
* Fri, February 17, 2017     deadline for reference letters
* Tue, February 28, 2017     notification of acceptance

The school will take place from

    Monday, June 19 to Friday, June 30, 2017

Organizers
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Ruth Urner, Michael Hirsch, Ilya Tolstikhin and Bernhard Schölkopf

inquiries should be directed to ruth.urner at tuebingen.mpg.de

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