Overview

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!


Important Dates

Abstract submission deadline: September 5th, 2017
Acceptance notification: September 28th, 2017
Registration opens: October 3rd, 2017
Baylearn Symposium: October 19th, 2017

Organizing Committee

David Grangier, Facebook AI Research
Jerremy Holland, Apple
Unmesh Kurup, Bosch Research
Jean-Francois Paiement, AT&T Research 
Alexey Pozdnukhov, UC Berkeley
Mohak Shah, Bosch Research

Program Committee

Samy Bengio, Google Research
Olivier Chapelle, Google
Isabelle Guyon, ClopiNet
Romer Rosales, LinkedIn

Local Arrangements

TBD


Questions?
Please email us at