ICML 2022 Call for Tutorials

 

The ICML 2022 Organizing Committee invites proposals for tutorials to be given on Monday July 18th, 2022, immediately preceding the main conference.

We welcome proposals for tutorials on core machine learning topics and on topics of emerging importance for machine learning. We encourage submission of tutorial proposals on any topic provided the tutorial is of interest to part of the ICML audience.

We plan to host a mix of invited and submitted tutorials. We anticipate hosting nine tutorials. Each tutorial will be two hours long, and will be given by one or two presenters. We welcome both in-person and virtual tutorials. Tutorial proposals should answer the following questions:

  • Title

  • Brief description and outline: What will the tutorial be about? Please provide an outline of what you plan to cover, including references and details on how much time you will spend on each topic. We encourage the presenters to demonstrate coverage and representativeness of the chosen area of research, not to focus solely on their own results or tools.

  • Goals: What objectives does the tutorial serve? Why is it important to include it as a part of ICML 2022?

  • Target audience: Who is your target audience? How many participants do you expect to see? What kind of background do you expect them to have?

  • Please include the names and email addresses of the presenters, along with brief bios and the description of each presenter’s expertise in the tutorial area. We suggest that each tutorial is given by at most two presenters. If there is more than one presenter, please describe how time will be split.
     

If available, please include samples of your past talk (or other relevant) slides or links to video recordings on the topic. ICML may be able to reimburse travel, lodging, and conference costs for tutorial presenters who need it.

Tutorial proposals should be submitted to tutorial@icml.cc by Feb 26, 2022 AOE. Acceptance and rejection decisions will be announced on May 07, 2022.

Tutorial Chairs, ICML 2022
Hanie Sedghi and Laurens van der Maaten