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AutoML MOOC Chapter 4.3 - Bayesian Optimization: Gaussian Process Surrogates
AutoML MOOC Chapter 4.5 - Bayesian Optimization: Acquisition Functions
Understanding High-Dimensional Bayesian Optimization
Zi Wang | Pre-training helps Bayesian optimization too
AutoML MOOC Chapter 4.1 - Bayesian Optimization: The Big Picture
Jiaming Song | A General Recipe for Likelihood-free Bayesian Optimization
Comparing Bayesian optimization with traditional sampling
Pre-trained Ensembles for Bayesian Optimization of Protein Sequences | Ziyue Yang
AutoML MOOC Chapter 4.4 - Bayesian Optimization: Random Forest Surrogates
Bayesian Optimization (Bayes Opt): Easy explanation of popular hyperparameter tuning method
AutoML MOOC Chapter 5.5 - Advanced HPO: Priors in Bayesian Optimization
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Last Updated: August 23, 2026
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