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.

This paper is concerned with an important issue in finite mixture modeling, the selection of the number of mixing components. A new penalized likelihood method is proposed for finite multi variate ...

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 ...

AI-driven model selection is no longer optional it’s a competitive necessity. Banks that fail to modernize risk assessment models face margin erosion, regulatory scrutiny, and increased exposure ...