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Related Questions
- What are the key differences between Bayesian optimization and gradient-based optimization methods?
- In what scenarios does Bayesian optimization outperform gradient-based optimization methods?
- Can Bayesian optimization be used for optimization problems with non-convex objective functions?
- How does the choice of acquisition function affect the performance of Bayesian optimization?
- What are the computational resources required for Bayesian optimization compared to gradient-based methods?
- Can Bayesian optimization be used for high-dimensional optimization problems?
- How does the number of evaluations required for Bayesian optimization scale with the number of parameters to optimize?
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