MLSS 2015 - Machine Learning Summer School 2015
Topics/Call fo Papers
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
---
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 January 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 michael.hirsch-AT-tuebingen.mpg.de
at the Max Planck Institute for Intelligent Systems in Tübingen, Germany
13 to 24 July 2015
http://mlss.tuebingen.mpg.de/2015/
---
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 January 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 michael.hirsch-AT-tuebingen.mpg.de
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Last modified: 2015-01-14 00:05:07