Spotify’s Contributions to NeurIPS 2022

November 24, 2022 Published by Spotify Research

Spotify’s Contributions to NeurIPS 2022

36th Conference on Neural Information Processing Systems
(NeurIPS 2022)
November 28th–December 9th
New Orleans, USA and Virtual

Cutting-edge research in Machine Learning, Language Technologies, User Modeling, Audio Intelligence, Search and Recommender Systems are some of the key areas we feel incredibly enthusiastic about at Spotify. That’s why we’re excited to be sponsoring this year’s NeurIPS conference and Women in Machine Learning workshop.

While we regularly share work from our research labs and engineering teams, we’re particularly excited about this year’s contributions covering reinforcement learning, survival analysis and causal inference.

If you’re attending NeurIPS 2022 in New Orleans, make sure to come by the Spotify stand and say hello!

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 in the Presence of Unobserved Confounders
    Olivier Jeunen (ShareChat, work done while at Spotify), Ciarán Gilligan-Lee (Spotify & UCL), Rishabh Mehrotra (ShareChat, work done while at Spotify), Mounia Lalmas (Spotify)
    Main Conference (Virtual), Tue Dec 6th, Featured Paper Panels 1A, 11:00 AM – 1:00 PM


  • WiML 2022: 17th 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 28th, Hall I-2, from 7:30 AM
  • OfflineRL: 3rd 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, main conference
Kamil Ciosek: Reviewer, main conference
Zhenwen Dai: Reviewer, main conference, deploy & monitor ML workshop
Ghazal Fazelnia: Reviewer for the main conference
Lucas Maystre: Reviewer, main conference
Konstantina Palla: Area Chair main conference & WIML Workshop organizer
Athanasios Vlontzos: Reviewer, CML4Impact Workshop