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Related Questions
- How does the choice of exploration strategy affect the convergence rate of Bayesian optimization in high-dimensional search spaces?
- Can you compare the convergence rates of Bayesian optimization and random search in terms of the number of evaluations required to reach a certain level of accuracy?
- What are the theoretical guarantees for convergence rates of Bayesian optimization and random search in high-dimensional search spaces?
- How does the dimensionality of the search space impact the trade-off between exploration and exploitation in Bayesian optimization?
- Can you discuss the role of noise in the objective function on the exploration-exploitation trade-off in Bayesian optimization?
- What are some practical strategies for balancing exploration and exploitation in high-dimensional search spaces using Bayesian optimization?
- How does the convergence rate of Bayesian optimization compare to other global optimization methods, such as simulated annealing or genetic algorithms?
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