AISTATS*2010 Call for Papers
Thirteenth International Conference on
Artificial Intelligence and Statistics
May 13-15, 2010, Chia Laguna, Sardinia, Italy
http://www.aistats.org

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 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.

The Conference Programme will include invited talks, contributed
talks, and posters.  Contributed talks and posters are selected via a
rigorous peer-review process based on 8 page papers.  Accepted papers
will be published as a special issue in the Journal of Machine
Learning Research (JMLR) Workshop and Conference Proceedings Series.

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  These are reports on ongoing or unpublished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.

Since its inception in 1985, the primary goal of this conference has
been to broaden research at the interface between artificial
intelligence and statistics.  Papers and 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:

Peer-Reviewed Papers:

Electronic submission of papers is required. Papers may be up to 8
double-column pages in length; formatting and submission information
can be found on the AI and Statistics Conference Management page.
Submissions will be considered if they are received by 23:59, Friday
November 6th, 2009, Universal Time.

Submitted papers will undergo a rigorous double-blind review process.
Acceptance notifications will be emailed by February 13th, and
camera-ready final versions (same format) will be due on March 13th,
2010. These papers will be presented at the Conference either as
contributed talks or posters, and will be published as a special issue
in the JMLR Workshop and Conference Proceedings Series.  Papers for
talks and posters will be treated equally in publication.

Breaking-news Posters:

Electronic submission of one page double-column abstracts is required.
Formatting and submission information can be found on the AI and
Statistics Conference Management page. Submissions will be considered
if they are received by 23:59, Friday February 26th, 2010, Universal
Time.

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posters at the conference and will not be published.


Programme Chairs:

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

General Chair:

Neil Lawrence, University of Manchester, U.K.