
Exploring New Hyperparameter Dimensions with Laplace Approximated Bayesian Optimization
Is it better than grid search? Arnaud Capitaine · Follow Published in Towards Data Science · 9 min read · 11 hours ago — Image by author from canva When I notice my model is overfitting, I often think, “It is time to regularize”. But how do I decide which regularization method to use (L1, L2) and what parameters to choose? Typically, I perform hyperparameter optimization by means of a grid search to select the