UAI 2020 - CALL FOR PAPERS

The Conference on Uncertainty in Artificial Intelligence (UAI) is one of 
the premier international conferences on research related to learning 
and reasoning in the presence of uncertainty. UAI 2020 will be held in
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Toronto, Canada, on Aug 3-6, 2020.
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The main conference will take place on Aug 3-6. The conference will be 
located immediately after the CogSci 2020 conference, to be held Jul 29 
- Aug 1, 2020 in Toronto, Canada.

We solicit submission of papers which describe novel theory, methodology 
and applications related to machine learning and statistics. We welcome 
submissions by authors who are new to the UAI conference, or on new and 
emerging topics. We also 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
February 20, 2020: Paper submission deadline
April 13-20, 2020: Rebuttal period (authors can comment on initial reviews)
May 14, 2020: Decisions are sent to authors

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.

Further details can be found on the conference website at: 
http://www.auai.org/uai2020

Jonas Peters and David Sontag
UAI 2020 Program Chairs
[email protected]

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