are illustrated numerically for a variety of utility functions commonly used in decision theory …

We propose a new, highly effective and easy-to-implement algorithm for solving large-scale mean-variance optimization … smaller than the number of assets, which is almost always the case. Our novel algorithm is built on the novel representation … of mean-variance models in terms of the support vector data description --- an unsupervised machine learning algorithm …