[Comp-neuro] AISTATS: Second call for highlight talks, DL Jan 24
jaakko.peltonen at aalto.fi
Fri Jan 10 21:54:46 CET 2014
AISTATS 2014 Call for Highlight Talks
Seventeenth International Conference on Artificial Intelligence and Statistics
April 22 - 25, 2014, Reykjavik, Iceland
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.
The Conference Programme will include highlight talks on recent high-impact
work on AISTATS themes. This is an opportunity to raise discussion and get
additional exposure to work already published in journals. Talks will be
selected based on one-page abstracts and the existing papers, and do not lead
to a paper in the Proceedings. We encourage submission of talks at
- Submit papers published in peer-reviewed journals or accepted for publication
between 1 Jan 2012 - 24 Jan 2014.
- Accepted submissions presented as 25min talks (incl. 5min for discussion).
- The submission site will be open by 20 December.
- Submissions will be considered if received by 24 January, 2014, 23:59 UTC.
- Acceptance notifications will be emailed by February 11th.
- More details below, and at http://www.aistats.org/submit_highlight_talks.php
Keynote and Tutorial Speakers:
Peter Buhlmann, ETH Zurich
Andrew Gelman, Columbia University
Michael I. Jordan, University of California, Berkeley
Roderick Murray-Smith, University of Glasgow
Christian P. Robert, Ceremade - Universite Paris-Dauphine
Havard Rue, Norwegian University of Science and Technology
Submission Requirements for Highlight Talks:
We accept submissions of papers published in peer-reviewed journals or
accepted for publication between 1 Jan 2012 - 24 Jan 2014. Accepted
submissions will be presented as 25 minute talks at the conference (including
5 minutes for discussion).
Papers in press are acceptable only if already available through the journal
web site. Note that presenters are encouraged to also present more recent
work, however, that work will not be considered in the decision. Up to 2
papers can be submitted as one single PDF if the authors intend to present
the results of multiple qualifying papers.
More recent work can be submitted for the late breaking posters track, see
http://www.aistats.org for instructions.
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
* Software for and applications of AI and statistics
For a more detailed list of keywords, see http://www.aistats.org/keywords.php.
See http://www.aistats.org/submit_highlight_talks.php for details of the
submission format and the submission site.
* relevance, significance, value and interest to the AISTATS audience
* timeliness of the topic
* presentability of the work for a large audience
* quality of oral presentations of presenter (if known)
* submissions with possibility to present more recent work will be viewed
Submissions will be considered if received by 24 January, 2014, 23:59 UTC.
Acceptance notifications will be emailed by February 11th.
See the conference website for additional important dates:
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.
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 afternoon break at the famous Blue Lagoon
geothermal warm beach. Travel information available at http://www.aistats.org.
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; Florence d'Alche-Buc, Universite
d'Evry-Val d'Essonne; Cedric Archambeau, Amazon Peter Auer, University of
Leoben; Erik Aurell, KTH; 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; Mehmet Gonen, Sage Bionetworks; Aapo Hyvarinen,
University of Helsinki; Timo Koski, KTH; John Paisley, Columbia University;
Jan Peters, Technische Universitat Darmstadt; Volker Roth, Universitat Basel;
Yevgeny Seldin, Queensland University of Technology and UC Berkeley; 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; Aki Vehtari, Aalto University; Jean-Philippe Vert, Mines
ParisTech and Curie Institute; Stephen Walker, University of Texas at Austin;
Kun Zhang, Max Planck Institute for Intelligent Systems
The European meetings of AISTATS are organized by the European Society for
Artificial Intelligence and Statistics.
============== for more information see http://www.aistats.org ===============
More information about the Comp-neuro