============================================================================== 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: [email protected] 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/ Chris Holmes, University of Oxford http://www.stats.ox.ac.uk/~cholmes/ 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 =============== _______________________________________________ uai mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/uai
