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Notice

AISB event Bulletin Item

CALL FOR PAPERS: 17th International Conference on Artificial Intelligence and Statistics, April 22 - 25, 2014, Reykjavik, ICELAND

http://www.aistats.org

AISTATS - Colocated with a MLSS Machine Learning Summer School

ASTATS is an interdisciplinary gathering of researchers at the intersection
 of computer science, artificial intelligence, machine learning, statistics,
 and related areas. Since its inception in 1985, the primary goal of AISTATS
 has been to broaden research in these fields by promoting the exchange of
 ideas among them. We encourage the submission of all papers which are in
 keeping with this objective at http://www.aistats.org.


 Keynote Speakers:
 -----------------
 Peter Buhlmann, ETH Zurich
http://stat.ethz.ch/~buhlmann/
 Talk title TBA

 Andrew Gelman, Columbia University
http://www.stat.columbia.edu/~gelman/
 Talk title: Weakly Informative Priors: When a little information can do a lot
 of regularizing

 Michael I. Jordan, University of California, Berkeley
http://www.cs.berkeley.edu/~jordan/
 Talk title: On the Computational and Statistical Interface and "Big Data"


 Tutorial Speakers:
 ------------------
 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


 Paper Submission:
 -----------------
 Proceedings track: This is the standard AISTATS paper submission track. Papers
 will be selected via a rigorous double-blind peer-review process. All accepted
 papers will be presented at the Conference as contributed talks or as posters
 and will be published in the Proceedings. A selected set of papers will be
 designated as "notable papers" which will be clearly distinguished in the
 Proceedings.

 Highlight talks track: We will include talks on recent high-impact work on
 AISTATS themes. This is an opportunity to raise discussion and get additional
 exposure to already published work, in particular in journals. The talks will
 be selected based on one-page abstracts and the existing papers, and they do
 not lead to a paper in the Proceedings.

 Late-breaking posters track: Some time at the conference will be set aside for
 "breaking news" posters having a one-page abstract. These are reports on
 ongoing or unpublished projects, projects already published elsewhere,
 partially developed ideas, negative results etc, and are meant as informal
 forums to encourage discussion. The review process of the late-breaking
 posters will be very light-touch and presentation at the Conference will not
 lead to publication in the Proceedings.


 Solicited topics include, but are not limited to:

 * Models and estimation: graphical models, causality, Gaussian processes,
   approximate inference, kernel methods, nonparametric models, statistical and
   computational learning theory, manifolds and embedding, sparsity and
   compressed sensing, ...
 * Classification, regression, density estimation, unsupervised and
   semi-supervised learning, clustering, topic models, ...
 * Structured prediction, relational learning, logic and probability
 * Reinforcement learning, planning, control
 * Game theory, no-regret learning, multi-agent systems
 * Algorithms and architectures for high-performance computation in AI and
   statistics
 * Software for and applications of AI and statistics

 For a more detailed list of keywords, see http://www.aistats.org/keywords.php.


 Submission Requirements for Proceedings Track:
 ----------------------------------------------
 Electronic submission of papers is required. Papers may be up to 8
 double-column pages in length, excluding references. Authors may optionally
 submit also supplementary material. Formatting and submission information is
 available at http://www.aistats.org/submit.php.

 All accepted papers will be published in the Proceedings in the Journal of
 Machine Learning Research Workshop and Conference Proceedings series. Papers
 for talks and posters will be treated equally in publication.


 Submission Deadlines:
 ---------------------
 Submissions will be considered if they are received by the following strict
 deadlines.

 Proceedings track paper submissions:  1 November, 2013, 23:59 UTC
 Highlight talk abstract submissions: 24 January, 2014, 23:59 UTC
 Late-breaking poster abstract submissions: 24 January, 2014, 23:59 UTC

 See the conference website for additional important dates:
http://www.aistats.org/dates.php.


 Colocated Events:
 -----------------
 A Machine Learning Summer School (MLSS) will be held after the conference
 (April 25th-May 4th). April 25 will be an AISTATS/MLSS joint tutorial + MLSS
 poster session day. The summer school features an exciting program with talks
 from leading experts in the field, see http://mlss2014.hiit.fi for details.


 Venue:
 ------
 AISTATS 2014 will be held in Reykjavik, the capital of Iceland, in Grand Hotel
 Reykjavik. Reykjavik and its environs offer a unique mix of culture and varied
 nature, from glaciers to waterfalls to geysers and thermal pools. This is a
 unique opportunity to spend an AISTATS afternoon break at a geothermal warm
 beach, the famous Blue Lagoon.

 Reykjavik is easily reachable by several airlines; travel information will be
 available on http://www.aistats.org.


 Program Chairs:
 ---------------
 Samuel Kaski, Aalto University and University of Helsinki
 Jukka Corander, University of Helsinki

 Local Chair: Deon Garrett,  School of Computer Science, Reykjavik University
 and Icelandic Institute for Intelligent Machines


 Senior Program Committee:
 -------------------------
 Edoardo Airoldi, Harvard University
 Cedric Archambeau, Amazon
 Peter Auer, University of Leoben
 Yoshua Bengio, Universite de Montreal
 Carlo Berzuini, University of Manchester
 Jeff A. Bilmes, University of Washington
 Wray Buntine, NICTA
 Lawrence Carin, Duke University
 Guido Consonni, Universita Cattolica del Sacro Cuore
 Koby Crammer, The Technion
 Emily B. Fox, University of Washington
 Aapo Hyvarinen, University of Helsinki
 Timo Koski, KTH
 Jan Peters, Technische Universitat Darmstadt
 Volker Roth, Universitat Basel
 Scott Sisson, University of New South Wales
 Suvrit Sra, Max-Planck Institute for Intelligent Systems
 Masashi Sugiyama, Tokyo Institute of Technology
 Joe Suzuki, Osaka University
 Bill Triggs, Centre National de Recherche Scientifique
 Jean-Philippe Vert, Mines ParisTech and Curie Institute
 Stephen Walker, University of Texas at Austin
 Kun Zhang, Max Planck Institute for Intelligent Systems
 To be completed.


 The European meetings of AISTATS are organized by the European Society for
 Artificial Intelligence and Statistics.