MLSS Machine Learning Summer School
April 25 - May 4, 2014, Reykjavik, Iceland
http://mlss2014.hiit.fi
Colocated with AISTATS 2014, the Seventeenth International Conference on
Artificial Intelligence and Statistics
==============================================================================
The Machine Learning Summer School will take place at Reykjavik University
in Reykjavik, Iceland, from April 25 to May 4, 2014. The field of machine
learning is at the intersection of computer science, statistics, mathematics,
and optimization. The Machine Learning Summer School (MLSS) is a great venue
for graduate students, researchers, and professionals to learn about
fundamental and advanced methods of machine learning, data analysis, and
inference, from theory to practice.
The MLSS in Reykjavik features an exciting program with talks from leading
experts in the field. MLSS is colocated with the high-profile international
conference AISTATS 2014, the Seventeenth International Conference on
Artificial Intelligence and Statistics. The MLSS also features a poster
session for students, jointly with a poster session of AISTATS.
Limited travel support for students is available, see the website for
details.
Key Information:
----------------
URL: http://mlss2014.hiit.fi
Dates: April 25 - May 4, 2014
Location: Reykjavik, Iceland
Email contact: mlss@iiim.is
Application system opens: 15 October
Student application deadline: 15 November
Admission notification by: 31 December
Confirmed Speakers:
-------------------
Yoshua Bengio, Universite de Montreal
http://www.iro.umontreal.ca/~bengioy/yoshua_en/index.html
Michael Betancourt, University College London
http://www.homepages.ucl.ac.uk/~ucakmjb/
Emily B. Fox, University of Washington
http://www.stat.washington.edu/~ebfox/
Mark Girolami, University College London
http://www.ucl.ac.uk/statistics/people/markgirolami
Thore Graepel, Microsoft Research Cambridge
http://research.microsoft.com/en-us/people/thoreg/
Ralf Herbrich, Amazon
http://www.herbrich.me/
Neil Lawrence, University of Sheffield
http://staffwww.dcs.shef.ac.uk/people/N.Lawrence/
Iain Murray, University of Edinburgh
http://homepages.inf.ed.ac.uk/imurray2/
David Silver, University College London
http://www0.cs.ucl.ac.uk/staff/d.silver/web/Home.html
Follow the website for more speakers!
Joint Tutorial Speakers with AISTATS:
-------------------------------------
Roderick Murray-Smith, University of Glasgow
http://www.dcs.gla.ac.uk/~rod/
Talk title TBA
Christian P. Robert, Ceremade - Universite Paris-Dauphine
https://www.ceremade.dauphine.fr/~xian/
Talk title: Approximate Bayesian computation (ABC), methodology and
applications
Havard Rue, Norwegian University of Science and Technology
http://www.ntnu.edu/employees/havard.rue
Talk title: Bayesian computing with INLA
Posters:
------------------
Bring along a poster! MLSS is an excellent opportunity to showcase your work.
Note that it is possible to present posters alread on April 24, the day before
MLSS starts: there will be a joint poster session with AISTATS on April 24,
and the student poster session continues the following day.
Social Events:
--------------
In addition to the scientific program, a lively social program is available,
with events such as a joint poster session/reception with AISTATS, an evening
out, a hiking trip/walking tour, and other informal gatherings, pub excursions
etc. Some events may involve a small fee.
Colocated Events:
-----------------
MLSS is colocated with the high-profile international conference AISTATS 2014,
the Seventeenth International Conference on Artificial Intelligence and
Statistics. There will be a joint poster session with AISTATS on April 24,
and the student poster session continues the following day. April 25 is also
an AISTATS/MLSS joint tutorial day. See http://www.aistats.org for information
about AISTATS 2014.
Venue:
------
The MLSS will be held in Reykjavik, the capital of Iceland, in Reykjavik
University. Reykjavik and its environs offer a unique mix of culture and
varied nature, from glaciers to waterfalls to geysers and thermal pools.
Reykjavik is easily reachable by several airlines; travel information will be
available on http://mlss2014.hiit.fi.
Program Chairs:
---------------
Samuel Kaski, Aalto University and University of Helsinki
Jukka Corander, University of Helsinki
Yee Whye Teh, University of Oxford
Organizing Committee:
---------------------
Deon Garrett (local organization chair), School of Computer Science,
Reykjavik University and Icelandic Institute for Intelligent Machines
Dorota Glowacka (sponsorship chair), University of Helsinki
Antti Honkela, University of Helsinki
Jaakko Peltonen (publicity and webmaster), Aalto University
============= for more information see http://mlss2014.hiit.fi ===============
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