78 citations · 78 across the 1 of their papers we have counts for
2 papers
cs.LG2019
Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions
Yunwen Lei, Ting Hu, Guiying Li +1
Stochastic gradient descent (SGD) is a popular and efficient method with wide applications in training deep neural nets and other nonconvex models. While the behavior of SGD is wel…
cs.LG2012★ 78 cited
Learning Theory Approach to Minimum Error Entropy Criterion
Ting Hu, Jun Fan, Qiang Wu +1
We consider the minimum error entropy (MEE) criterion and an empirical risk minimization learning algorithm in a regression setting. A learning theory approach is presented for thi…