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2016 Mobile Ad Summit
Thursday
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October 
11
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8:00am
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BayLearn

2019

Thursday
, 
October 
11
 at 
8:00am
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Picture Credit: © Della Huff

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, contributed talks and posters to foster the exchange of ideas.

Keynote Speakers

Anca Dragan

UC Berkeley

 

 

Keynote Talk: Learning Intended Rewards: Extracting all the right information from all the right places


 

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Ayanna Howard

Georgia Tech

CTO at Zyrobotics

Partnership on AI 

Keynote Talk: Designing Socially Interactive Agents for Healthcare

 


More Info

Daphne Koller

CEO at Insitro

Stanford University  


Keynote Talk: Machine Learning: A New Approach to drug Discovery

 


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Dan Yamins

 Stanford University



Keynote Talk: Recent Advances in Brain-Inspired Self-Supervised Learning 

 

 

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Schedule

9:00AM – 7:00 PM

Schedule details to be announced closer to the event

Venue

Pinterest is hosting

BayLearn 2019 at their 651 Brannan St. campus located in

San Francisco, CA


#BayLearn2019

BayLearn 2018 will take place at Facebook.

Our Sponsors

BayLearn 2019 is sponsored by the following companies

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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