Spotify’s Contributions to NeurIPS 2020

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

Conference Schedule

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)