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!
Videos from BayLearn 2024
The YouTube Playlist for BayLearn 2024 can be found here.
Venue
BayLearn 2024 was hosted in person in at Apple, in Cupertino, CA.
Key Dates
Call for Abstract: June 12th, 2024 (see submissions page)Abstract submission deadline—Extended...Now: Aug 5th, 2024 11:59pm PDTAcceptance notifications—Updated Date: Sep 16th, 2024Registration Lottery: Now Open => Enter the Registration Lottery NowRegistration Lottery Closes: Oct 1, 2024Registration Lottery Winners announced via e-mail: Oct 3, 2024- BayLearn 2024 Symposium: Thu, Oct 10th 2024
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
- Isabelle Guyon, Google, ChaLearn, and U. Paris-Saclay
- Niloufar (Nilou) Salehi, UC Berkeley
- Dumitru Erhan, Google
Program Committee
- Samy Bengio, Apple
- Mohak Shah, Praescivi Advisors
- Alice Xiang, Partnership on AI