Reinforcement Learning for Personalization at Spotify with Tony Jebara - #609

episode

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

Related

recent transcribed audio

A.I. Safety Goes Mainstream + a ‘Hard Fork’ Exit AMA 1h 25m · 18 Sep 2026 · Hard Fork

AWP: Beyond the Exam Room: Purpose, Myopia, and Population Health 54 min · 17 Sep 2026 · EyeCode Media

Planning Commission Meeting - Sep 17, 2026 1h 11m · 17 Sep 2026 · Leesburg Planning Commission

Heritage Commission - Sep 14, 2026 1h 57m · 17 Sep 2026 · Loudoun County Board Committees and Advisory Boards

Historic District Review Committee - Sep 14, 2026 1h 36m · 17 Sep 2026 · Loudoun County Board Committees and Advisory Boards

Planning Commission Work Session - Sep 17, 2026 4h 39m · 17 Sep 2026 · Loudoun County Planning Commission

Report any issue

Source

Recorded29 Dec 2022

Publisherfeeds.megaphone.fm ↗

Handlerec:12495926

Show notes

Today we continue our NeurIPS 2022 series joined by Tony Jebara, VP of engineering and head of machine learning at Spotify. In our conversation with Tony, we discuss his role at Spotify and how the company’s use of machine learning has evolved over the last few years, and the business value of machine learning, specifically recommendations, hold at the company. We dig into his talk on the intersection of reinforcement learning and lifetime value (LTV) at Spotify, which explores the application of Offline RL for user experience personalization. We discuss the various papers presented in the talk, and how they all map toward determining and increasing a user’s LTV. The complete show notes for this episode can be found at twimlai.com/go/609.

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Sign in