UAI 2023 - Call for Tutorials

The UAI 2023 Organizing Committee invites proposals for tutorials. The tutorials will be held at the 39th Conference on Uncertainty in Artificial Intelligence, on July 31st, in Pittsburgh, USA.

We seek proposals for tutorials on core areas that enjoy broad interest within the UAI community. We are interested in tutorials on established as well as emerging research topics within the field itself, but we also welcome tutorials from related research fields or application areas (e.g., computer vision, natural language processing, etc.).

Important dates:

  • Friday, March 10th, 2023: Tutorial proposals due.
  • Friday, April 14th, 2023: Acceptance notification.
  • Friday, July 31st, 2023: Tutorials date.

Topics of interest:

  • Causal Inference & Machine Learning
  • Uncertainty Quantification
  • Reproducibility in ML
  • Advances in Deep Learning
  • Reinforcement Learning or Sequential Decision-Making
  • Fairness, Transparency, and/or Interpretability of AI
  • Graphical Models
  • Applications of UAI-relevant methods to specific scientific domains: e.g., neuroscience, economics, computational biology, physics, healthcare, etc.

Proposals outside of these topics are entirely welcome.

How to propose a tutorial

Proposals are expected to have an overall length of 2 to 3 pages. They should provide sufficient information to evaluate the quality and importance of the topic, the likely quality of the presentation materials, and the speakers' teaching ability. Tutorials may be taught by more than one person to provide a richer, more balanced coverage of an area.

When proposing a tutorial, please include the following sections:

1. Outline -- A title and abstract for the tutorial.

2. Topic overview -- What will the tutorial be about? Why do you believe this is an interesting and significant subject for the UAI community? What existing literature will be covered? What are the expected learning outcomes of the tutorial?

3. Target audience -- From which areas do you expect potential participants to come? What prior knowledge, if any, do you expect from the audience? How many participants do you expect?

4. Tutorial length -- in previous years, tutorials were limited to a length of 2-3 hours. If you would like to spend more (or less) time than this, please indicate and motivate your preferred tutorial length.

5. Content details -- Provide a detailed outline of the topics to be presented, including estimates for the time that will be devoted to each subject. If possible, provide samples of past tutorial slides or teaching materials. In case of multiple presenters, specify how you will distribute the work.

6. Format -- How will you present the material? Will there be multimedia parts of the presentation? Do you plan software demonstrations? What software or programming languages might be involved? Will participants learn to use particular software as part of the tutorial? Specify any extraordinary technical equipment that you would need.

7. Presenters' expertise -- Please include the name, e-mail address, and webpage of all presenters. In addition, outline the presenters' background and include a list of publications in the tutorial area. Optional but helpful: Emphasise teaching or other tutorial experience, and/or include links to past presentations.

8. Diversity, equity and inclusion: We especially encourage proposals from groups currently under-represented at UAI.

Tutorial proposals should be submitted by March 10th, 2023:

For more information you can contact:

Linbo Wang and Sofia Triantafillou
Tutorial Co-Chairs UAI 2023