Bayesian Optimization

The loss landscape of an HPO problem is typically unknown (e.g., we need to solve a black-box function) and expensive to evaluate. Bayesian Optimization (BO) is designed as a global optimization strategy for expensive black-box functions. BO first estimates the shape of the target loss landscape with a surrogate model and then suggests the configuration … Continue reading Bayesian Optimization