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. The conference has been held every year since 1985. The upcoming 39th edition (UAI 2023) will be an in-person conference with virtual elements taking place in Pittsburgh, Pennsylvania, USA from 31 July to 4 August 2023.

We invite papers that describe novel theory, methodology and applications related to artificial intelligence, machine learning and statistics. Papers will be assessed in a rigorous double-blind peer-review process, based on the criteria of technical correctness, novelty, clarity of writing, and potential impact. Authors are strongly encouraged to make code and data available.

All accepted papers will be presented in poster sessions and spotlight presentations (physically or remotely). Selected papers will have longer presentations and an assigned discussant to foster debate. All accepted papers will be published in a volume of Proceedings of Machine Learning Research (PMLR).

Deadlines and other relevant dates can be found under important dates.

Important dates for authors:

Papers should be submitted on OpenReview at https://openreview.net/group?id=auai.org/UAI/2023/Conference. Please see Submission Instructions for more details on how your manuscript should be formatted.

We are looking forward to building an exciting program and we aim to make the most of the advantages that a hybrid conference can create. If you have any particular positive or negative experiences that you would like to share with us, please do not hesitate to email us.

If you are interested in giving a tutorial or organising a workshop at UAI 2023, please contact the tutorial chairs (uai2023chairs+tutorials@gmail.com) or workshop chairs (uai2023chairs+workshop@gmail.com) by 10 March 2023.

Relevant dates:

Robin Evans and Ilya Shpitser
UAI 2023 Program Chairs
uai2023programchairs@gmail.com