Connectionists: Machine Learning Summer School 2016 in Cadiz, Spain

[Joan Bruna Estrach]

Dear Colleagues,

*Apologies for duplicated messages*

This is the Second call for Applications for: 

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          MACHINE LEARNING SUMMER SCHOOL 2016
at the University of Cadiz, Spain, May 11th to 21st 2016
http://learning.mpi-sws.org/mlss2016 <http://learning.mpi-sws.org/mlss2016>
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Overview
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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/OpenAI), Practical on Deep Reinforcement Learning

Isabel Valera (MPI-SWS), Practical on Machine Learning for Networks

Durk Kingma (U Amsterdam/OpenAI), 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/ <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  <mailto:mlss2016 at mpi-sws.org>
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