12pm - 1pm

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2016 Mobile Ad Summit
Thursday
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11
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BayLearn 2025
Thursday
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October 
11
 at 
8:00am
Registration is closed: Join the Baylearn 2025 waitlist 
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Note: You must be registered and confirmed to attend the event. We will not be able provide on-site registration at the venue.

Bay Area Machine Learning Symposium

The Bay Area Machine Learning Symposium is an annual gathering of machine learning scientists from the San Francisco Bay Area. While it 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 and posters to foster the exchange of ideas. BayLearn 2025 will be an in-person event—You must attend to participate!

Keynote Speakers

Ronan Collobert

 Apple

Keynote Talk

 


More Info

Chris Manning

Stanford

Keynote Talk

 

More Info

Niloufar Salehi

across.ai

Agentic AI Panel

- Diyi Yang - Stanford

- Sandeep Uttamchandani - PA Networks
- Rama Akkiraju - NVIDIA
- Ed H. Chi - Google DeepMind

Bryan Catanzaro

NVIDIA

Keynote Talk 

 

More Info

Schedule

9:00AM – 5:00 PM

The detailed schedule will be available here

Venue

 

BayLearn 2025 will be an In-Person Machine Learning Symposium

hosed by Santa Clara University, in conjunction with University of California, Santa Cruz.


#BayLearn2025

BayLearn 2018 will take place at Facebook.

Our Sponsors

BayLearn 2025 is sponsored by the following organizations

About BayLearn

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!

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