6th Workshop on Geometry and Machine Learning
Friday June 10, 2022 | 14:30 - 18:00 | Berlin, Germany (with remote option)
Talks will be in person or hybrid. Details TBA.
Organized by Hu Ding, Mustafa Hajij, and Jeff Phillips.
Machine learning (broadly defined) concerns techniques that can learn from and make predictions on data. Such algorithms are built to explore the useful pattern of the input data, which usually can be stated in terms of geometry (e.g., problems in high dimensional feature space). Hence computational geometry plays a crucial and natural role in machine learning. Importantly, geometric algorithms often come with quality guaranteed solutions when dealing with high-dimensional data. The computational geometry community has many researchers with the unique knowledge on high dimensional geometry, which could be utilized to have a great impact on machine learning or any data related fields.

This workshop is intended to provide a forum for those working in the fields of computational geometry, machine learning and the various theoretical and algorithmic challenges to promote their interaction and blending. To this end, the workshop will consist of an invited talks and several contributed talks. The invited talk will mainly serve as tutorials about the applications of geometric algorithms in machine learning. Such interaction will stimulate those working in both fields, and we can expect that a synergy can promote many new interesting geometric problems, concepts and ideas, which will contribute to open up new vistas in computational geometry communities.

This workshop is being held as part of CG Week 2022 (June 7-10, 2022 in Berlin, Germany) which also includes the International Symposium on Computational Geometry (SoCG).


Contribute A Talk: To submit a contributed talk to be considered for a presentation, send an email to WoGeomML@gmail.com with an abstract (e.g., 2 pages) or preferably link to permanent, publically available version (e.g., at arXiv.org). The email should contain a list of authors, and should identify the name of the person presenting. Indicate if you hope to attend in person, or will prefer a virtual option.
We will receive contributions until May 15, 2022.
Contributed Talks
14:30-14:50 TBA ()
14:50-15:10 TBA ()
15:10-15:30 TBA ()
Coffee Break
Invited Talk
(all times may change subject to conference schedule)
16:00 - 17:00 Michael Schaub (RWTH Aachen University) TBA
Contributed Talks
17:00-17:20 TBA ()
17:20-17:40 TBA ()
17:40-18:00 TBA ()






The previous versions of this workshop were:
  • Workshop on Geometry and Machine Learning
  • 2nd Workshop on Geometry and Machine Learning
  • 3rd Workshop on Geometry and Machine Learning
  • 4th Workshop on Geometry and Machine Learning
  • 5th Workshop on Geometry and Machine Learning