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.

Paper Submission:

Proceedings track: This is the standard AISTATS paper submission track. Papers will be selected via a rigorous double-blind peer-review process. Reviewers will be assigned to a paper by multiple mechanisms so that there is no "single point of failure": by an automated mechanism, and by the primary and secondary members of the senior program committee. 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 carry a preface in the proceedings by a member of the senior program committee, and will also be given greater visibility and discussion via social media.

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 These are reports on ongoing or unpublished projects, projects already published elsewhere, partially developed ideas, negative results etc, and are meant as informal forums to encourage discussion.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. We will use the Microsoft CMT submission system. Papers may be up to 8 double-column pages in length, excluding references. Authors may optionally submit also supplementary material. Formatting and submission information will be made available on the conference website at http://www.aistats.org/submit.php.

All accepted papers will be presented at the Conference either as contributed talks or as posters, and will be published in the AISTATS Conference Proceedings in the Journal of Machine Learning Research Workshop and Conference Proceedings series. Papers for talks and posters will be treated equally in publication.

Submitted manuscripts should not have been previously published in a journal or in the proceedings of a conference, and should not be under consideration for publication at another conference at any point during the AISTATS review process. It is acceptable to have a substantially extended version of the submitted paper under consideration simultaneously for journal publication, so long as the journal version's planned publication date is in 2014 or later, the journal submission does not interfere with AISTATS's right to publish the paper, and the situation is clearly described at the time of AISTATS submission. Please describe the situation in the appropriate box on the submission page (and do not include author information in the submission itself, to avoid accidental unblinding).

Submission Deadlines:

Submissions will be considered if they are received by the following 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 26th-May 4th). April 25 will be an AISTATS/MLSS joint tutorial + MLSS poster session day.

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 geysirs 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, Finland
Jukka Corander, University of Helsinki, Finland
Local Chair:

Deon Garrett, School of Computer Science, Reykjavik University and Icelandic Institute for Intelligent Machines, Iceland
The European meetings of AISTATS are organized by the European Society for Artificial Intelligence and Statistics.