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Related Questions
- What are the key differences between Bayesian optimization and other global optimization techniques such as grid search and random search?
- How does Bayesian optimization handle noise in the objective function, and what strategies can be employed to mitigate its impact?
- Can Bayesian optimization be used to optimize functions with multiple local optima, and if so, how does it select the global optimum?
- What are some common pitfalls to avoid when using Bayesian optimization, particularly in the context of noisy objective functions?
- How does the choice of surrogate model impact the performance of Bayesian optimization, and what are some popular choices?
- Can Bayesian optimization be used in conjunction with other optimization techniques, such as gradient-based methods, to improve performance?
- What are some real-world applications of Bayesian optimization, and how has it been successfully used in industry and academia?
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