The BayLearn Symposium aims at gathering scientists in machine learning from the San Francisco Bay Area. While it promotes community building between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks and posters to foster exchange of ideas.
We encourage the submission of poster abstracts. Acceptable material includes work which has already been submitted or published, preliminary results and controversial findings... All accepted abstracts will be presented as posters, a few will be selected for short oral presentations or lightning talks. We do not intend to publish proceedings, only abstracts will be shared through an online repository. Our primary goal is to foster discussion!
Note: The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
Venue
BayLearn 2025 will be hosted at Santa Clara University and co-organized in partnership with the University of California, Santa Cruz.
Key Dates
- Abstract submission deadline: Tuesday, July 29nd, 2025 at 11:59pm PDT
- Author notifications: Friday, September 12th, 2025
- Reservation opens: Monday, September 15th, 2025
- Symposium: Thursday, Oct 16th, 2025
Mailing List
Please join the BayLearn Mailing List for receiving symposium related announcements.
Contact
info at baylearn dot org
Organizers
- Jerremy Holland, Apple
- Jean-François Paiement, AT&T Research
- Sudarshan Lamkhede, Netflix Research
- Niloufar (Nilou) Salehi, UC Berkeley
- Leilani Gilpin, UC Santa Cruz
- Yi Fang, Santa Clara University
- Ian Lane, UC Santa Cruz
Program Committee
- Samy Bengio, Apple
- Isabelle Guyon, Google, ChaLearn, and U. Paris-Saclay
- Dumitru Erhan, Google
- Mohak Shah, Praescivi Advisors
- Alice Xiang, Partnership on AI