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cs.LG2021
Research of Damped Newton Stochastic Gradient Descent Method for Neural Network Training
Jingcheng Zhou, Wei Wei, Zhiming Zheng
First-order methods like stochastic gradient descent(SGD) are recently the popular optimization method to train deep neural networks (DNNs), but second-order methods are scarcely u…
cs.LG2021★ 1 cited
Representation Learning of Reconstructed Graphs Using Random Walk Graph Convolutional Network
Xing Li, Wei Wei, Xiangnan Feng +1
Graphs are often used to organize data because of their simple topological structure, and therefore play a key role in machine learning. And it turns out that the low-dimensional e…