AISTATS 2018 Call for Papers
http://www.aistats.org/
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
AISTATS.
Paper Submission:
Proceedings track: This is the standard AISTATS paper submission track.
Papers will be selected via a rigorous double-blind peer-review process.
All accepted papers will be presented at the Conference as contributed
talks or as posters and will be published in the Proceedings.
Solicited topics include, but are not limited to:
Models and estimation: graphical models, neural networks,
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 efficiency or high-performance
computation in AI and statistics
Transfer Learning, one-shot learning, meta-learning
Software for and applications of AI and statistics
For a more detailed list of keywords, please see the website.
Submission Requirements for Proceedings Track:
Electronic submission of papers is required. Papers may be up to 8
double-column pages in length, excluding references. Authors may
optionally submit also supplementary material. Formatting and submission
information is available at here.
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 in the Journal of Machine Learning Research
Workshop and Conference Proceedings series. Papers for talks and posters
will be treated equally in publication.
Submission Deadline: Friday, 13 October 2017 23:59 UTC
We look forward to seeing your submissions
Amos Storkey and Fernando Perez-Cruz
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The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
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