AISB convention 2017

  In the run up to AISB2017 convention, I've asked Joanna Bryson, from the organising team, to answer few questions about the convention and what comes with it. Mohammad Majid al-Rifaie (https://twitter.com/mohmaj) Tu...


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Harold Cohen

Harold Cohen, tireless computer art pioneer dies at 87   Harold Cohen at the Tate (1983) Aaron image in background   Harold Cohen died at 87 in his studio on 27th April 2016 in Encintias California, USA.The first time I hear...


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Dancing with Pixies?...

At TEDx Tottenham, London Mark Bishop (the former chair of the Society) demonstrates that if the ongoing EU flagship science project - the 1.6 billion dollar "Human Brain Project” - ultimately succeeds in understanding all as...


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Computerised Minds. ...

A video sponsored by the society discusses Searle's Chinese Room Argument (CRA) and the heated debates surrounding it. In this video, which is accessible to the general public and those with interest in AI, Olly's Philosophy Tube ...


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Connection Science

All individual members of The Society for the Study of Artificial Intelligence and Simulation of Behaviour have a personal subscription to the Taylor Francis journal Connection Science as part of their membership. How to Acce...


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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