AISTATS*2010 Call for Breaking News Abstracts

Abstract deadline has passed

Thirteenth International Conference on
Artificial Intelligence and Statistics

May 13-15, 2010, Chia Laguna, Sardinia, Italy

This is the thirteenth conference on Artificial Intelligence and Statistics (AISTATS*2010), an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, statistics, and related areas.

Since its inception the AISTATS conference has been held every two years in North America. At the 2009 conference, with the generous support of the EU funded PASCAL II Network of Excellence (www.pascal-network.org), the decision was made to bring the conference to Europe for the first time. Starting in 2010 AISTATS will be held every year, alternating the venue between Europe and North America. AISTATS*2010 is also cosponsored by the Institute of Mathematical Statistics.

The Conference Programme will include invited talks, peer-reviewed contributed talks and posters. These contributed talks and posters, for which the submission date was November 6, 2009, will be published as full papers. However, in addition, as an innovation for AISTATS*2010, some time at the conference will be set aside for "breaking news" posters submitted on the basis of a one-page abstract. These posters may report on ongoing or unpublished projects, projects already published elsewhere, partially developed ideas, negative results etc., and are meant as informal fora to encourage discussion. Abstracts should summarize and highlight why the projects will be of interest to the AISTATS community. The review process of these abstracts will be very light-touch but presentation of these at the Conference will NOT lead to publication in the Proceedings.

Since its inception in 1985, the primary goal of this conference has been to broaden research at the interface between artificial intelligence and statistics. Abstracts on all aspects of this interface are strongly encouraged, including but not limited to:

• active learning and experimental design
• applications
• approximate and exact inference
• Bayesian statistics
• causality
• classification and regression
• graphical models
• kernel and large margin methods
• latent variable models
• model selection and structure learning
• neural networks
• online learning
• optimization and search
• unsupervised and semi-supervised learning
• reinforcement learning and decision making
• statistical databases
• statistical software
• statistical learning theory
• structured and relational learning
• visualization of datasets

Submission Requirements for Breaking News Abstracts:

Electronic submission of one-page double-column abstracts is required. Formatting and submission information can be found on the AI and Statistics Conference page. Submissions will be considered if they are received by 23:59, Monday March 8th, 2010, Universal Time (Greenwich Mean Time).

Abstracts will be lightly reviewed. Acceptance notifications will be emailed by March 26th. These will be presented as posters at the conference but will not be published.

Programme Chairs

Yee Whye Teh, University College London, U.K.
Mike Titterington, University of Glasgow, U.K.

General Chair