17 citations · 49 across the 13 of their papers we have counts for
4 papers · 1 filter
Neyman-Pearson Multi-class Classification via Cost-sensitive Learning
Ye Tian, Yang Feng
Most existing classification methods aim to minimize the overall misclassification error rate. However, in applications such as loan default prediction, different types of errors c…
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…
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…
A Multilayer Correlated Topic Model
Ye Tian
We proposed a novel multilayer correlated topic model (MCTM) to analyze how the main ideas inherit and vary between a document and its different segments, which helps understand an…