AISB Convention 2015

Call for Symposium Proposals: The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2015 Con...


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Yasemin Erden on BBC

AISB Committee member, and Philosophy Programme Director and Lecturer, Dr Yasemin J. Erden interviewed for the BBC on 29 October 2013. Speaking on the Today programme for BBC Radio 4, as well as the Business Report for BBC world N...


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Mark Bishop on BBC ...

Mark Bishop, Chair of the Study of Artificial Intelligence and the Simulation of Behaviour, appeared on Newsnight to discuss the ethics of ‘killer robots’. He was approached to give his view on a report raising questions on the et...


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AISB YouTube Channel

The AISB has launched a YouTube channel: http://www.youtube.com/user/AISBTube (http://www.youtube.com/user/AISBTube). The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...


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Lighthill Debates

The Lighthill debates from 1973 are now available on YouTube. You need to a flashplayer enabled browser to view this YouTube video  


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Notice

AISB event Bulletin Item

CFP: AISTATS 2011, Artificial Intelligence and Statistics

www.aistats.org

AISTATS*2011 Call for Papers
Fourteenth International Conference on 
Artificial Intelligence and Statistics
April 11-13, 2011, Ft. Lauderdale, FL, USA 
Hyatt Regency Pier 66 
Colocated with the Learning Workshop

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.

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.

Solicited topics include, but are not limited to:

Bayesian models and estimation (graphical models, causality, Gaussian processes, approximate inference, ...)
Non-Bayesian models and estimation (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 aistats.org/keywords.php.
Submission Requirements

We're making some changes to the typical submission and review process for AISTATS.  The main changes are: (1) a two-stage reviewing process with more time for the authors to revise their papers, which will hopefully improve the quality of the final versions; and (2) awards for an increased number of notable papers, along with a process for giving these papers increased visibility and discussion, hopefully motivating authors to submit their best work.  See the conference website for more details: aistats.org/reviewing.php.

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 aistats.org/submit.php.

Submissions will be considered if they are received by 23:59, November 1st, 2010, UTC.  See the conference website for additional important dates: aistats.org/dates.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.  Papers for talks and posters will be treated equally in publication.

Program Chairs
Geoff Gordon, Machine Learning Department, Carnegie Mellon University
David Dunson, Department of Statistical Science, Duke University