60 citations · 266 across the 46 of their papers we have counts for
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stat.ML2016
Distributed Generalized Cross-Validation for Divide-and-Conquer Kernel Ridge Regression and its Asymptotic Optimality
Ganggang Xu, Zuofeng Shang, Guang Cheng
Tuning parameter selection is of critical importance for kernel ridge regression. To this date, data driven tuning method for divide-and-conquer kernel ridge regression (d-KRR) has…
math.ST2016
A maximum smoothed likelihood based estimation for two component semiparametric density mixtures with a known component
Zhou Shen, Michael Levine, Zuofeng Shang
We consider a semiparametric mixture of two univariate density functions where one of them is known while the weight and the other function are unknown. Such mixtures have a histor…