Bayesian Optimization, Machine Learning, AI, Hyperparameter Tuning.
Bayesian optimization algorithm’s efficiency. Cold start problem The first improvement targets the “cold start problem,” where the initial phase of the algorithm relies on randomly sampling hyperparameters to build the surrogate model. A more effective initiation strategy can significantly reduce