MLSS 2016 - Machine Learning Summer School 2016

The machine learning summer school provides graduate students, researchers and industry
professionals with an intense learning experience on theory and
applications of modern machine learning. Over the course of ten days,
a panel of internationally renowned experts will offer lectures and
tutorials covering a diverse range of theoretical and applied topics.
This time the MLSS is co-located just after AISTATS 2016, in the medieval town of Cadiz (south of Spain).
Confirmed Speakers and Topics so far:
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Arthur Gretton (UCL Gatsby), Kernel Methods
Arthur Szlam (Facebook AI Research), Deep Learning
Francis Bach (ENS), Optimization
Jonas Peters (MPI-IS), Causality
Le Song (Georgia Institute of Technology), Machine Learning for Networks
Mathias Betghe (Center Integrative Neuroscience, U Tubingen), Machine Learning for Neuroscience
Nando de Freitas (Oxford University, DeepMind), Deep Learning
Neil Lawrence (University of Sheffield), Gaussian Processes
Nicolas Le Roux (Criteo), Large Scale Machine Learning
Peter Abbeel (UC Berkeley), Deep Reinforcement Learning
Samory Kptufe (Princeton), Learning Theory
Sebastien Bubek (Microsoft Research), Bandits
Stefanie Jegelka (MIT), Submodularity
Stephane Mallat (ENS), Mathematics of Convolutional Networks
Tamara Broderick (MIT), Nonparametrics and Bayesian Statistics
Michel Besserve (MPI-IS), Practical on Machine Learning for Neuroscience
John Schulmann (UC Berkeley), Practical on Deep Reinforcement Learning
Isabel Valera (MPI-SWS), Practical on Machine Learning for Networks
Durk Kingma (U Amsterdam), Practical on Deep Learning
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://learning.mpi-sws.org/mlss2016/application/
Important Dates
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* Monday November 23 2015 application system opens
* Sunday Jan 31 2016 DEADLINE FOR APPLICATIONS
* Sunday Feb 28 2016 notification of acceptance
Organizers
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Manuel Gomez Rodriguez (MPI-SWS)
Joan Bruna (UC Berkeley)
inquiries should be directed to mlss2016-AT-mpi-sws.org