UAI 2016 - Call for Papers
The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conference on research related to knowledge representation, learning, and reasoning in the presence of uncertainty. UAI 2016 will be held in Jersey City, New Jersey, on June 25-29. The conference will take place immediately after the ICML conference (June 19-24), which is located in NYC.
We solicit submission of papers which describe novel theories, methodology and applications related to knowledge representation, learning, and reasoning under uncertainty. A non-exclusive list of subject areas can be found here and papers published at past conferences can be found at this link. We welcome submissions by authors who are new to the UAI conference, or on new and emerging topics. We encourage submissions on applications, especially those that inspire new methodologies or novel combinations of existing methodologies.
Submitted papers will be reviewed based on their novelty, technical quality, potential impact and clarity of writing. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable. Submissions that mark "applications" as the primary subject area will be reviewed according to appropriate criteria and by reviewers with appropriate backgrounds.
Important dates for authors
Paper submission and reviewing will be handled electronically. Submissions should be formatted in the UAI format and papers (including figures and text) are limited to 9 pages in length. An additional 10th page is allowed containing only references. Optional submissions of supplementary materials are allowed. However, reviewers are under no obligation to look at the submitted supplementary materials, and will base their review primarily on the main paper. Authors should consult this website for full details regarding the paper preparation and submission guidelines.
Papers that are currently under review or have already been accepted or published in a refereed venue, including conferences and journals, may not be submitted. Authors are strongly encouraged to make data and code publicly available when possible.
The review process is double blind. Please make sure that the submission does not disclose the author's identities or affiliation.
Presentation and Publication
All accepted papers will be presented at the conference either as contributed talks or as posters, and will be published in the Conference Proceedings. At least one of the paper's authors should be present at the conference to present the work.
Program ChairsDominik Janzing
Max Planck Institute for Intelligent Systems, Tubingen
University of California, Irvine, USA
General ChairsMarina Meila
University of Washington, USA