大数据学习的缓慢杀死（英文版）

英文标题：Slow Kill for Big Data Learning中文摘要：本文介绍了一种称为 “slow kill” 的新技术，它利用了非凸约束优化、自适应规则化和动态学习率的方法来解决大规模变量筛选的问题，并且实验证明了其优越性。英文摘要：Big-data applications often involve a vast number of observations andfeatures, creating new challenges for variable selection and parameterestimation. This paper presents a novel technique called ``slow kill,'' whichutilizes nonconvex constrained optimization, adaptive $\ell_2$-shrinkage, andincreasing learning rates. The fact that the problem size can decrease duringthe s