
BayLearn Symposium
Description
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. Our primary goal is to foster discussion!
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Meet the speakers

Alice Xiang
Theme:Global Head of AI Governance Sony

Jerremy Holland
Theme:Apple

Jean-François Paiement
Theme:AT&T Research

Sudarshan Lamkhede
Theme:Netflix Research

Leilani Gilpin
Theme:UC Santa Cruz

Samy Bengio
Theme:Apple

Isabelle Guyon
Theme:Google, ChaLearn, and U. Paris-Saclay

Niloufar (Nilou) Salehi
Theme:UC Berkeley

Dumitru Erhan
Theme:
Yi Fang
Theme:Santa Clara University

Ian Lane
Theme:UC Santa Cruz

Mohak Shah
Theme:Praescivi Advisors