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UAI 2014 - Call for Papers

The Conference on Uncertainty in Artificial Intelligence (UAI) is the premier international conference on research related to representation, inference, learning, and decision making in the presence of uncertainty. UAI 2014 will be held in Quebec City, Quebec, Canada, at the Quebec City Convention Centre, on July 23-27, 2014. The main conference will occur on July 24-26, with tutorials on July 23rd and workshops on July 27th. The conference will be located close in time and location with the AAAI 2014 conference to be held July 27-31, 2014 and CogSci 2014 conference to be held July 23–26, 2014 in Quebec City.

We solicit submission of papers which describe novel theories, methodology, and applications related to modeling, inference, learning, and decision-making 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 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

  • March 19, 2014, 11:59pm UTC: Paper submission deadline
  • May 6-9, 2014: Author feedback about initial reviews
  • May 30, 2014: Author notification
  • June 16, 2014: Camera-ready copy due
Note: Times and dates are in universal time (UTC). The CMT system has times that are in PDT but 4:59pm PDT is 11:59pm UTC Click here for a converter.

Paper Submission

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.

AIJ/JAIR Fast-Track

Agreements have been reached with AIJ and JAIR regarding the fast-track publication of UAI 2014 best papers and runner ups. Once the review process is over, a list of nominated papers will be sent to AIJ and JAIR. The editors of the journals will follow up with invitation letters and the journal review process. Authors may submit extended versions of their papers to only one of the two journals even if they receive invitations from both.

If accepted by AIJ, a paper would be published as regular AIJ paper but identified as invited revision of a paper first given at UAI 2014. If accepted by JAIR, a paper would be published in a regular volume and be included in the JAIR Award Track.

Program Chairs
Jin Tian, Iowa State University
Nevin L. Zhang, The Hong Kong University of Science & Technology
General Chair
Ann Nicholson, Monash University

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