In this paper, we propose an algorithm for solving inequality constrained mini-max optimization problem. In this algorithm, an active set strategy is used together with multiplier method to convert ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

In order to quickly approximate maximum likelihood estimators from massive data, this study examines the optimal subsampling method under the A-optimality criterion (OSMAC) for generalized linear ...