Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling

Abstract We introduce the structure optimized proximity scaling (STOPS) framework for hyperparameter selection in parametrized multidimensional scaling and extensions (proximity scaling; PS). The selection process for hyperparameters is based on the idea that we want the configuration to show a cert... View More