[edit]

AISTATS*2012 Call for Papers

Fifteenth International Conference on
Artificial Intelligence and Statistics

April 21-23, 2012, La Palma, Canary Islands

See also separate call for Breaking News Abstracts

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 www.aistats.org.

In the 2012 edition of AISTATS we are particularly encouraging submissions with a focus on scientific data sets. Examples could include astronomical data, biological data etc. These submissions have been assigned the keywords "scientific data analysis".

The Conference Program will include invited talks, contributed talks, and posters. Contributed talks and posters will be selected via a rigorous double-blind peer-review process. Accepted papers will be published in the AISTATS Conference Proceedings to be published as a volume of JMLR Workshop and Conference Proceedings.

Some time at the conference will be set aside for "breaking news" posters submitted on the basis of 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 These are reports on ongoing or unpublished projects, projects already published elsewhere, partially developed ideas, negative results etc, and are meant as informal forums to encourage discussion.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 these posters will be very light-touch but presentation of these 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 this page.

Submission Requirements

Peer-Reviewed Papers:

Electronic submission of papers is required. Papers may be up to 8 double-column pages in length, excluding references; formatting and submission information will be made available on the conference website at submit.html.

Submissions will be considered if they are received by 23:59, October 14th, 2011, UTC. See the conference website for additional important dates: dates.html.

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. 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 2012 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).

Breaking-news Posters:

See separate call.

Programme Chairs

General Chair

Local Arrangements Chair

If you would like to post the call for papers in your department, here is a flyer (1 page, PDF).