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Intro
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Classroom Contents
Robust Design Discovery and Exploration in Bayesian Optimization
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- 1 Intro
- 2 Impactful Real-World Problems
- 3 Experimentation and Discovery
- 4 Gaussian Process Leaming and Confidence Bounds
- 5 Robust Bayesian Optimization
- 6 Example 1: Group Robustness
- 7 Example 2: Robust Design Discovery
- 8 Key Analysis Ideas
- 9 Robust Model-based Reinforcement Leaming
- 10 Adversarial Corruptions
- 11 Novel Corrupted Confidence Bounds
- 12 Robust Gaussian Process Phased Elimination (RGP-PE)
- 13 Robustness to Attacks
