Spotify’s Contributions to NeurIPS 2020
December 07, 2020 Published by Spotify Research
The Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020) begins this week, and we are excited to be a Gold sponsor of NeurIPS, and to share our latest work in machine learning with the community. Here’s a guide to where you can find us during the week.
Spotify is hiring a number of different positions spanning Machine Learning, Data Science, Data Engineering, and Tech Research. Interested in #JoiningTheBand? Have a look at our careers page here and let us know you’ve applied!
Our Spotify Booth will be open Monday–Friday
from 5-9pm GMT / 12-4pm EST
Agenda / Activities
Monday, Dec 7th, 2020
10:30 – 13:00 GMT (5:30 – 7:00 EST)
Tutorial: (Track2) Beyond Accuracy: Grounding Evaluation Metrics for Human-Machine Learning Systems
Praveen Chandar (Spotify), Fernando Diaz (Microsoft Research), Brian St. Thomas (Spotify)
Wednesday, Dec 9th, 2020
17:00 – 19:00 GMT (12:00 – 14:00 EST)
Conference paper: Model Selection for Production System via Automated Online Experiments
Zhenwen Dai (Spotify), Praveen Chandar (Spotify), Ghazal Fazelnia (Spotify), Benjamin Carterette (Spotify), Mounia Lalmas (Spotify)
Thursday, December 10, 2020
11:00 AM – 2:30 PM GMT (6:00 – 9:30 EST)
Invited Talk on “Optimizing Multiple Objectives for Recommendations in Marketplaces” @ Pie & AI: Nairobi – NeurIPS 2020 Meetup
Rishabh Mehrotra (Spotify)
Friday, Dec 11th, 2020
15:00 – 23:15 GMT (10:00 – 18:15 EST)
Workshop paper: Density function estimation using ergodic recursion @ Workshop: Machine Learning and the Physical Sciences
Erik Bodin (University of Bristol, Spotify), Zhenwen Dai (Spotify), Neill D. F. Campbell (University of Bath), Carl Henrik Ek (University of Cambridge)
Reviewers
- Ghazal Fazelnia: NeurIPS main conference & I Can’t Believe It’s Not Better Workshop
- Lucas Maystre: NeurIPS main conference & Crowd Science workshop