Hosted by Uber AI Labs, the Bayesian Optimization track of the 2nd Uber Science Symposium brings together practitioners and researchers from industry and academia to share and discuss the latest advancements, challenges, and future directions for the field.

The program features presentations spanning a variety of topics from recognized leaders in both industry and academia.

The event will also feature refreshments, lunch, and a closing reception, along with plenty of time for socializing.

Symposium registration closes on April 12, 2019.

Check out the RSVP page for registration and abstract submission forms.

The 2nd Uber Science Symposium is comprised of three parallel tracks: [1] Programming Systems and Tools, [2] Behavioral Science, and [3] Bayesian Optimization.

Each track consists of a full-day program with talks from well-known practitioners and scientists in that field. Participants are free to attend talks in different tracks or stay in a single track for the full day.