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1. An Overview of Contextual Bandits

   - Contextual bandits, a dynamic approach to treatment personalization
   - Differences between contextual bandits, multi-armed bandits, A/B testing, multiple MABs, multi-step reinforcement learning, and uplift modeling
   - Exploration and exploitation strategies, including ε-greedy, upper confidence bound, and Thompson sampling

   2024-02-02 Tags: multi-armed bandits, a_b testing, reinformcement learning, thompson sampling, data science by klotz
2. Detecting and avoiding bucket imbalance in A/B tests

   2017-10-09 Tags: a_b testing, test, user, twitter, analytics by klotz
3. Overlapping Experiment Infrastructure

   2017-10-09 Tags: a_b testing, testing, data, user, google, presentation by klotz

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