Call for Tutorial Proposals

International Conference on Machine Learning

http://icml.cc/2014

Beijing, June 21-26, 2014

The ICML 2014 Organizing Committee invites proposals for tutorials to be held at the 31th International Conference on Machine Learning, on June 21, 2014 in Beijing, China.

Important Dates

  • Tutorial proposal deadline: Feb 21, 2014
  • Acceptance notification: Mar 8, 2014
  • Tutorials: June 21, 2014
  • Contact:rsalakhu@cs.toronto.edu

We seek proposals for two-hour tutorials on core techniques and areas of knowledge of broad interest within the machine learning community, including established or emerging research topics within the field itself, as well as from related fields or application areas that are clearly relevant to machine learning.

The ideal tutorial should attract a wide audience, and should be broad enough to provide a gentle introduction to the chosen research area, but should also cover the most important contributions in depth. Tutorial proceedings will not be provided in hardcopy, but will instead be made available by the presenters on their website prior to the conference.

How to Propose a Tutorial:

Proposals 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. The written proposal should be 2-3 pages long, and should use the following boldface text for section headings.

Topic overview:

What will the tutorial be about? Why is this an interesting and significant subject for the machine learning community at large?

Target audience:

From which areas do you expect potential participants to come? What prior knowledge, if any, do you expect from the audience? What will the participants learn? How many participants do you expect?

Content details:

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

Format:

How will you present the material? Will there be multimedia parts of the presentation? Do you plan software demonstrations? Specify any extraordinary technical equipment that you would need.

Organizers' and presenters' expertise:

Please include the name, email address, and webpage of all presenters. In addition, outline the presenters' background and include a list of publications in the tutorial area.

Tutorial proposals should be submitted via email in PDF format to rsalakhu@cs.toronto.edu. Soon after submission, proposers should expect to receive a verification of receipt.

Russ Salakhutdinov, tutorial chair ICML 2014

2013-2014 ICML | International Conference on Machine Learning