Stochastic Logging Policies
Exploring the importance of stochastic logging policies, Thorsten highlights how transforming deterministic rules into stochastic ones can enhance data collection for machine learning. He emphasizes that existing log data, particularly from A/B tests, can still be valuable despite not being initially designed with stochasticity in mind. This approach opens up new avenues for leveraging historical data effectively.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Unbiased Learning from Biased User Feedback with Thorsten Joachims - TWiML Talk #207
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