307 citations · 624 across the 19 of their papers we have counts for
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3 papers · 1 filter
stat.ME2017★ 8 cited
Nonparametric Independence Screening via Favored Smoothing Bandwidth
Yang Feng, Yichao Wu, Leonard Stefanski
We propose a flexible nonparametric regression method for ultrahigh-dimensional data. As a first step, we propose a fast screening method based on the favored smoothing bandwidth o…
stat.ME2013★ 1 cited
Homogeneity in Regression
Tracy Ke, Jianqing Fan, Yichao Wu
This paper explores the homogeneity of coefficients in high-dimensional regression, which extends the sparsity concept and is more general and suitable for many applications. Homog…
stat.ME2008★ 54 cited
Variable selection for the multicategory SVM via adaptive sup-norm regularization
Hao Helen Zhang, Yufeng Liu, Yichao Wu +1
The Support Vector Machine (SVM) is a popular classification paradigm in machine learning and has achieved great success in real applications. However, the standard SVM can not sel…