Variable selection, or more generally, model reduction is an important a...
A salient approach to interpretable machine learning is to restrict mode...
The accuracy of an integral approximation via Monte Carlo sampling depen...
This paper discusses predictive inference and feature selection for
gene...
Gaussian graphical models are used for determining conditional relations...
We propose two novel methods for simplifying Gaussian process (GP) model...