Thus, the algorithm optimizes the surrogate and suggests the hyperparameter values at the maximum of the surrogate model as the optimal values for the original function as well.

The stochastic block model (SBM) provides a popular framework for modeling community structures in networks. However, more attention has been devoted to problems concerning estimating the latent node ...

Best-subset selection aims to find a small subset of predictors, so that the resulting linear model is expected to have the most desirable prediction accuracy. It is not only important and imperative ...