BITESIZE | Is Bayesian Optimization the Answer?
Learning Bayesian Statistics
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Leveraging Neural Networks for Dimensionality Reduction in Bayesian Optimization
This chapter explores the role of neural networks as feature extractors in Bayesian optimization, focusing on their ability to understand relationships among high-dimensional data features. It also discusses the integration of Gaussian Process models to enhance analysis and optimization in fields like molecular and protein design.
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