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UAI 2024 - Call for Tutorials

Important dates:

  • Friday, March 29th, 2024: Tutorial proposals due
  • Monday, April 15th, 2024: Acceptance notification
  • Monday, July 15th, 2024: Tutorials date

The UAI 2024 Organizing Committee invites proposals for tutorials. The tutorials will be held at the 40th Conference on Uncertainty in Artificial Intelligence, on July 15th, in Barcelona, Spain.

We seek proposals for tutorials on core topics in the fields of statistics, machine learning, and artificial intelligence, as well as tutorials on emerging topics in these fields. We also consider proposals on related research fields or application areas provided that it makes strong argument regarding the importance and relevance of the topic to the UAI community. Topics of specific interest include:

  • Causal Inference and Discovery
  • Uncertainty Quantification
  • Optimization Theory
  • Fairness, Transparency, Interpretability, and Reproducibility in ML
  • Reinforcement Learning and Sequential Decision-Making
  • Advances in Deep Learning
  • Statistical Learning Theory

Tutorials will take place in-person on a single day and are limited in length to 3 hours.

How to propose a tutorial

Tutorial proposals should be submitted by March 29th, 2024, via the following form:
Submission Form

Tutorial proposals should be no more than 3 pages (excluding references) submitted in PDF format and should include the following:

  1. Title and abstract
  2. Description and outline: What will the tutorial be about? What material will the tutorial cover and in what depth? Please 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. Please indicate your preferred tutorial length.
  3. Goals: What are the objectives and the expected learning outcomes of the tutorial? What is the benefit to attendees?
  4. 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?
  5. Presenters: Please include the name, e-mail address, and webpage of all presenters, and describe the presenters' expertise in the tutorial area. Optional but helpful: Emphasize teaching or other tutorial experience, and/or include links to past presentations. We especially encourage proposals from groups represent the diversity in our community.

Tutorial Chairs, UAI 2024
Niao He and AmirEmad Ghassami



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