Gonna toot my own horn here for a second, but here[0] is a presentation I did on multi-armed bandits (and specifically Thompson sampling, the tragically underut

Gonna toot my own horn here for a second, but here[0] is a presentation I did on multi-armed bandits (and specifically Thompson sampling, the tragically underutilized optimal bandit method) to an undergrad ML group. Amusingly, the diagram I use on slide 3 is from a research paper from Microsoft. We had a guest speaker from MS's exp-platform team [1] the prior week, and she had discussed A/B testing, but not touched on bandits, and I felt a need to make this exact point. [0]: https://gtagency.github.io/2016/experimentation-with-no-ragrets https://gtagency.github.io/2016/experimentation-with-no-ragr... [1]: https://exp-platform.com/ https://exp-platform.com/