2 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.ML2018★ 2 cited
Newton Methods for Convolutional Neural Networks
Chien-Chih Wang, Kent Loong Tan, Chih-Jen Lin
Deep learning involves a difficult non-convex optimization problem, which is often solved by stochastic gradient (SG) methods. While SG is usually effective, it may not be robust i…
stat.ML2018★ 1 cited
Distributed Newton Methods for Deep Neural Networks
Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen +5
Deep learning involves a difficult non-convex optimization problem with a large number of weights between any two adjacent layers of a deep structure. To handle large data sets or…