4 citations · 9 across the 6 of their papers we have counts for
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cs.LG2020★ 1 cited
GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification
John T. Halloran, David M. Rocke
One of the most efficient methods to solve L2-regularized primal problems, such as logistic regression and linear support vector machine (SVM) classification, is the widely used tr…
cs.LG2018★ 1 cited
Jensen: An Easily-Extensible C++ Toolkit for Production-Level Machine Learning and Convex Optimization
Rishabh Iyer, John T. Halloran, Kai Wei
This paper introduces Jensen, an easily extensible and scalable toolkit for production-level machine learning and convex optimization. Jensen implements a framework of convex (or l…