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Introduction
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Classroom Contents
Deep Bayesian Bandits - Exploring in Online Personalized Recommendations
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- 1 Introduction
- 2 Context
- 3 Bandit Theory
- 4 Upper Confidence Bound Ucb and Thompson Sampling
- 5 References
- 6 Approach
- 7 Experiments
- 8 Epsilon Greedy
- 9 Thompson Sampling
- 10 Upper Confidence Bound
- 11 bootstrapping
- 12 dropout method
- 13 hybrid method
- 14 upper confidence bounds
- 15 time to click delay
- 16 fake negatives
- 17 experiment setup
- 18 experiment results
