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Related Questions
- What are the key differences between Gaussian Processes and Random Forests in Bayesian optimization?
- How does the Bayesian linear regression model compare to Gaussian Processes in terms of uncertainty estimation?
- What are the advantages of using a Gaussian Process over a neural network as a surrogate model in Bayesian optimization?
- Can you explain the concept of 'kernels' in Gaussian Processes and how they relate to the choice of surrogate model?
- How does the computational cost of Gaussian Processes compare to other surrogate models like Support Vector Machines?
- What are the implications of using a Gaussian Process with a non-stationary kernel for Bayesian optimization?
- Can you discuss the role of Gaussian Processes in multi-objective Bayesian optimization and how they compare to other methods?
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