Bayesian Optimization, Machine Learning, AI, Hyperparameter Tuning.
hyperparameters, effectively tackling the “cold start” challenge. It eliminates the reliance on random sampling to begin the optimization process. To further streamline the optimization process, we used a method that allowed us to reduce the computationally intensive task of repeatedly training