[apologies if you receive multiple copies of this mail]
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Invited speakers:
P. Bühlmann, D. MacKay, D. Silver and R. Slawinski (banquet)
Submission site is open:
check http://www.auai.org/uai2015/index.shtml
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UAI 2015 - FINAL 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 2015 will be held in Amsterdam, The Netherlands, on July 12-16, 2015.
The main conference will take place on July 13-15, with tutorials on
July 12 and workshops on July 16 (tentative). The conference will be
located immediately after the ICML conference, to be held July 6-11,
2015 in Lille, France. Traveling between Lille and Amsterdam takes about
2.5 hours by train.
We solicit submission of papers which describe novel theories,
methodology and applications related to knowledge representation,
learning, and reasoning under uncertainty. 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
Tuesday, March 3, 2015, 11:59pm UTC: Paper submission deadline
April 20-23, 2015: Author feedback about initial reviews
Tuesday, May 12, 2015: Author notification
Monday, June 1, 2015: Camera-ready copy due
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.
Tom Heskes and Marina Meila
UAI 2015 Program Chairs
http://auai.org/uai2015/index.shtml
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