66 citations · 88 across the 9 of their papers we have counts for
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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.ME2017★ 1 cited
Additive Partially Linear Models for Massive Heterogeneous Data
Binhuan Wang, Yixin Fang, Heng Lian +1
We consider an additive partially linear framework for modelling massive heterogeneous data. The major goal is to extract multiple common features simultaneously across all sub-pop…