66 citations · 88 across the 9 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2017★ 5 cited
On Scalable Inference with Stochastic Gradient Descent
Yixin Fang, Jinfeng Xu, Lei Yang
In many applications involving large dataset or online updating, stochastic gradient descent (SGD) provides a scalable way to compute parameter estimates and has gained increasing…
stat.ML2012★ 66 cited
Consistent selection of tuning parameters via variable selection stability
Wei Sun, Junhui Wang, Yixin Fang
Penalized regression models are popularly used in high-dimensional data analysis to conduct variable selection and model fitting simultaneously. Whereas success has been widely rep…