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Related Questions
- What are the key differences in computational complexity between Bayesian optimization and gradient-based optimization methods?
- How does the number of function evaluations impact the computational efficiency of Bayesian optimization compared to gradient-based methods?
- Can Bayesian optimization be more computationally efficient than gradient-based methods in certain problem domains?
- What are the trade-offs between exploration and exploitation in Bayesian optimization, and how do they impact computational efficiency?
- How does the choice of acquisition function in Bayesian optimization affect computational efficiency?
- Can gradient-based methods be used to optimize the acquisition function in Bayesian optimization?
- What are the implications of using Bayesian optimization with a small budget of function evaluations on computational efficiency?
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