UAI 2021 - 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. The conference has been held every year since 1985. The upcoming 37th edition (UAI 2021) will take place online from 27 to 30 July 2021.

We invite papers that describe novel theory, methodology and applications related to artificial intelligence, machine learning and statistics. Please see a list of possible topics here. Papers will be assessed in a rigorous double-blind peer-review process by our program committee and senior program committee, based on their novelty, technical quality, potential impact and clarity of writing. Authors are strongly encouraged to make code and data available. Please see the submission instructions for detailed information about the submission process.

All accepted papers will be presented in poster sessions and spotlight presentations in a single plenary track to ensure good visibility. 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

  • February 20, 2021 (23:59 UTC): Paper submission deadline
  • April 14-20, 2021: Author response period
  • May 12, 2021: Author notification

We are looking forward to building an exciting program and will do our best to leverage the advantages that an online conference can create. If you have any particular positive or negative experience that you would like to share with us, please do not hesitate to write us an email.

Cassio de Campos and Marloes Maathuis
UAI 2021 Program Chairs