Call for Abstracts
BayLearn 2025 will be an in-person event, held on Thursday, October 16th, 2025.
BayLearn 2025 will be hosted at Santa Clara University and co-organized in partnership with the University of California, Santa Cruz.
Note: BayLearn 2025 will not be a hybrid event, and it will not be live-streamed.
The BayLearn 2025 abstract submission site is now open for submissions:
https://baylearn.org/submissions
The abstract submission deadline is Tuesday, July 29nd, 2025, 11:59pm PDT.
Please submit abstracts as a 2-page pdf in NeurIPS format. An extra page for acknowledgements and references is allowed.
About BayLearn
The BayLearn Symposium is an annual gathering of machine learning researchers and scientists from the San Francisco Bay Area. While BayLearn promotes community building and technical discussions between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks, contributed talks, and posters, to foster exchange of ideas.
Meet with fellow Bay Area machine learning researchers and scientists during the symposium that will be held on October 16th, at Santa Clara University.
Feel free to circulate this invitation to your colleagues and relevant contacts.
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
Submissions
We encourage submission of abstracts. Acceptable material includes work which has already been submitted or published, preliminary results, and controversial findings. We do not intend to publish paper proceedings; only abstracts will be shared through an online repository. Our primary goal is to foster discussion! For examples of previously accepted talks, please watch the paper presentations from previous BayLearn Symposiums: https://baylearn.org/previous