UAI 2018 : The Conference on Uncertainty in Artificial Intelligence
Conference Series : Uncertainty in Artificial Intelligence
Call For Papers
UAI 2018 - Call for Papers
Deadline: Friday, March 9th 2018.
The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to knowledge representation, learning, and reasoning in the presence of uncertainty. UAI 2018 will be held in Monterey, California, on August 6-10, 2018. The main conference will take place on August 7-9, with tutorials on August 6 and workshops on August 10.
UAI solicits 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 below. 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.
Important dates for authors
March 9th, 2018, 11:59 pm SST (Samoa Standard Time): Paper submission deadline.
May 24th, 2018: Author notification.
July 6th, 2018: Camera ready due.
August 6th, 2018: Conference starts.
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.
UAI 2018 - Subject Areas
When an author submits a paper, they will be asked to select one primary subject area, and up to 5 secondary subject areas from the sets of terms below. The terms have been grouped to provide a somewhat systematic overview of topics relevant to the UAI conference. For example, a paper about a new approximate inference algorithm for dynamic Bayesian network with applications to a problem in biology could select the combination primary = dynamic Bayesian network, secondary = [application/biology, algorithms/approximate inference] and so on.
For reference, below is the list of subject areas that will appear to authors and reviewers in the CMT conference management system:
Distributed and Parallel
Software and Tools
Diagnosis and Reliability
Planning and Control
Privacy and Security
Social Network Analysis
Sustainability and Climate
Text and Web Data
Temporal or Sequential
Online and Anytime Learning
Probabilistic Generative Models
Human Expertise and Judgement
Directed Graphical Models
Dynamic Bayesian Networks
Markov Decision Processes
Mixed Graphical Models
Undirected Graphical Models