17 citations · 59 across the 15 of their papers we have counts for
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stat.ML2021★ 9 cited
Transfer Learning under High-dimensional Generalized Linear Models
Ye Tian, Yang Feng
In this work, we study the transfer learning problem under high-dimensional generalized linear models (GLMs), which aim to improve the fit on target data by borrowing information f…
stat.ML2021
Machine Collaboration
Qingfeng Liu, Yang Feng
We propose a new ensemble framework for supervised learning, called machine collaboration (MaC), using a collection of base machines for prediction tasks. Unlike bagging/stacking (…
stat.ME2021★ 17 cited
RaSE: A Variable Screening Framework via Random Subspace Ensembles
Ye Tian, Yang Feng
Variable screening methods have been shown to be effective in dimension reduction under the ultra-high dimensional setting. Most existing screening methods are designed to rank the…