Taught Spring 2022, Yeshiva University DAV masters program

- Lecture 1: Definition and motivation
- Lecture 2: A/B testing I: Overview
- Lecture 3: A/B testing II: Design
- Lecture 4: A/B testing III: Operational considerations
- Lecture 5: Evaluating and presenting results
- Lecture 7: Multi-armed bandits I: Epsilon-greedy
- Lecture 8: Multi-armed bandits II: Thompson sampling
- Lecture 9: Response surface methodology
- Lecture 10: Contextual bandits
- Lecture 11: Bayesian optimization
- Lecture 12: Bayesian optimization: Gaussian process regression
- Lecture 13: Experimenting without experiments