In statistics, the score function is the gradient of the log-likelihood function with respect to the parameters, used to measure the sensitivity of the likelihood function to the parameters. The score ...

Abstract: Subset selection, a fundamental problem in various domains, is to choose a subset of elements from a large candidate set under a given objective or multiple objectives. Pareto optimization ...

Abstract: Activation functions are essential components in any neural network model; they play a crucial role in determining the network’s expressive power through their introduced non-linearity.