18 citations · 44 across the 8 of their papers we have counts for
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cs.LG2020
A Framework of Learning Through Empirical Gain Maximization
Yunlong Feng, Qiang Wu
We develop in this paper a framework of empirical gain maximization (EGM) to address the robust regression problem where heavy-tailed noise or outliers may present in the response…
cs.LG2020
New Insights into Learning with Correntropy Based Regression
Yunlong Feng
Stemming from information-theoretic learning, the correntropy criterion and its applications to machine learning tasks have been extensively explored and studied. Its application t…