This ICML workshop seeks to broaden the role of geometric models and thinking in machine-learning research.
The interplay between machine learning and geometry is an active field of research drawing the attention of researchers from many fields as it offers not only beautiful mathematical and statistical theory but also substantial impact on important real-world problems in machine learning. Examples of this interplay include, but are not limited to:
This ICML workshop is co-located with ICML, IJCAI and AAMAS in Stockholm.
|Date: Sunday July 15, 2018|
|Session 1. Chair: TBD|
|8:30-8:40||Welcome and introduction by the organizers|
|Session 2. Chair: TBD|
Certifiably Correct SLAM
Failures of Information Geometry
|Session 3. Chair: TBD|
Information geometry: Structures and their uses
|14:15-15:00||Two-three contributed talks
|Session 4. Chair: TBD|
Submission deadline: May 7, 2018
Author notification: May 21, 2018
We are looking for poster/oral contributions to the second instalment of this workshop which explores the intersection between geometry and machine learning. Submissions will be reviewed based on short abstracts. Maximum length is one page (plus at most one additional page which can contain only references) using the ICML 2018 format. See ICML website for the template files. This is not a "blind" submission; i.e., the authors' identities should be included in the PDF. Submission is open to both unpublished and previously-published work. There will be no proceedings for this workshop; however, upon an author’s request, an accepted contribution will be made available on the workshop website. This is a great way to share recent and ongoing work with the community.
Submissions should be e-mailed to firstname.lastname@example.org
There will a sponsored prize for the best abstract, which will be presented at the workshop.
TBA: The workshop takes place at ROOM INFO etc
The conference is jointly organized by:
For matters regarding the conference, you can contact the organizers at email@example.com.
We are grateful for funding from the Bosch Center for Artificial Intelligence, Ben-Gurion University of the Negev, the Villum Fonden Young Investigator program and the European Research Council (ERC) through a starting grant.