Multistate Survival Modeling
Tony discusses the evolution of survival modeling, emphasizing the importance of understanding user behavior beyond simple binary states. By incorporating multistate survival models, insights into user retention and future rewards are enhanced, paving the way for more sophisticated applications in reinforcement learning. The conversation highlights the complexity of user interactions on platforms like Spotify, where individuals can exist in various states, each influencing their potential value.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Reinforcement Learning for Personalization at Spotify with Tony Jebara - 609
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