[Comp-neuro] Second Call for Papers: AISTATS 2014, Seventeenth International Conference on Artificial Intelligence and Statistics

Peltonen Jaakko jaakko.peltonen at aalto.fi
Sun Sep 29 21:48:52 CEST 2013


==============================================================================
AISTATS 2014 Call for Papers
Seventeenth International Conference on Artificial Intelligence and Statistics
April 22 - 25, 2014, Reykjavik, Iceland
http://www.aistats.org

Colocated with a MLSS Machine Learning Summer School
==============================================================================

AISTATS 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.

============== for more information see http://www.aistats.org ===============


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