November 24, 2022 Published by Spotify Research
thirty sixth Conference on Neural Information Processing Systems
(NeurIPS 2022)
November twenty eighth – December ninth
New Orleans, USA and Virtual
Cutting-edge analysis in Machine Learning, Language Technologies, User Modeling, Audio Intelligence, Search and Recommender Systems are a number of the key areas we really feel extremely keen about at Spotify. That’s why we’re excited to be sponsoring this yr’s NeurIPS convention and Women in Machine Learning workshop.
While we recurrently share work from our analysis labs and engineering groups, we’re significantly enthusiastic about this yr’s contributions overlaying reinforcement studying, survival evaluation and causal inference.
If you’re attending NeurIPS 2022 in New Orleans, be certain to return by the Spotify stand and say whats up!
Research Papers
- Temporally-Consistent Survival Analysis
Lucas Maystre (Spotify), Daniel Russo (Columbia & Spotify)
Main Conference, Tue Nov 29, Hall J, Poster # 432, 4:30 – 6:00 PM
- Society of Agents: Regrets Bounds of Concurrent Thompson Sampling
Yan Chen (Duke University), Perry Dong (University of California, Berkeley), Qinxun Bai (Horizon Robotics), Maria Dimakopoulou (Spotify), Wei Xu (Horizon Robotics), Zhengyuan Zhou (Arena Technologies & NYU)
Main Conference, Tue Nov 29, Hall J, Poster #816, 9:30 AM – 1:00 PM
- Optimizing Audio Recommendations for the Long-Term
Lucas Maystre (Spotify), Daniel Russo (Columbia & Spotify), Yu Zhao (Spotify)
Reinforcement Learning for Real Life Workshop, Sat 3 Dec, Theater A, from 7:30 AM
- Disentangling Causal Effects from Sets of Interventions within the Presence of Unobserved Confounders
Olivier Jeunen (ShareChat, work executed whereas at Spotify), Ciarán Gilligan-Lee (Spotify & UCL), Rishabh Mehrotra (ShareChat, work executed whereas at Spotify), Mounia Lalmas (Spotify)
Main Conference (Virtual), Tue Dec sixth, Featured Paper Panels 1A, 11:00 AM – 1:00 PM
Workshops
- WiML 2022: seventeenth Women in Machine Learning workshop
Organizers: Konstantina Palla (Spotify), Sergul Aydore (Amazon AI), Gloria Namanya (Makerere AI Research), Beliz Gunel (Google AI), Mariam Arab (Microsoft), Kimia Nadjahi (MIT).
Mentorship Guest: Mounia Lalmas-Roelleke (Spotify)
Affinity Workshop, Mon Nov twenty eighth, Hall I-2, from 7:30 AM - OfflineRL: third Offline RL Workshop: Offline RL as a “Launchpad”
Invited Speaker: Tony Jebara (Spotify)
Workshop, Fri Dec 2nd, Room 286, Keynote 3:00 – 3:30 PM, Panel 12:30-1:30 PM. - RL Benchmarks Panel Discussion
Invited Speaker: Tony Jebara (Spotify)
Reinforcement Learning for Real Life Workshop, Sat 3 Dec, Theater A, Panel 10:20 – 11:10 AM
Other contributions
Amar Ashar, Ethics Reviewer, foremost convention
Kamil Ciosek: Reviewer, foremost convention
Zhenwen Dai: Reviewer, foremost convention, deploy & monitor ML workshop
Ghazal Fazelnia: Reviewer for the primary convention
Lucas Maystre: Reviewer, foremost convention
Konstantina Palla: Area Chair foremost convention & WIML Workshop organizer
Athanasios Vlontzos: Reviewer, CML4Impact Workshop