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 ...

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 ...

Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. The data-driven revolution is prefaced upon the idea that data and ...

Most people don't use the word algorithm every day. Many think it refers to lines of code or the latest Diplo beat. Yet, algorithms are ubiquitous and there is an increasing urgency of action around ...