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Related Questions
- Can Bayesian optimization handle non-stationary objective functions where the optimal solution changes over time?
- How does Bayesian optimization leverage prior knowledge or domain information to improve search efficiency?
- What is the role of exploration-exploitation trade-off in Bayesian optimization, and how is it managed?
- How does Bayesian optimization handle noisy or imprecise objective function evaluations?
- What are some common methods used to handle high-dimensional search spaces in Bayesian optimization?
- Can Bayesian optimization be used for large-scale optimization problems, such as those involving millions of parameters?
- How does Bayesian optimization scale with the number of samples or iterations, and are there any known scalability challenges?
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