Learning to Intervene
Thorsten discusses the importance of learning to intervene effectively in online systems, likening it to medical treatments where outcomes guide future decisions. He emphasizes the need for randomized trials to establish causal relationships, drawing parallels to A/B testing in digital environments. The conversation highlights the shift from mere prediction to impactful recommendations that genuinely influence user behavior.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
Related Questions