Search Results for author: Xunpeng Huang

Found 5 papers, 2 papers with code

Adaptive Gradient Methods Can Be Provably Faster than SGD with Random Shuffling

no code implementations1 Jan 2021 Xunpeng Huang, Vicky Jiaqi Zhang, Hao Zhou, Lei LI

Adaptive gradient methods have been shown to outperform SGD in many tasks of training neural networks.

Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs

no code implementations12 Jun 2020 Xunpeng Huang, Hao Zhou, Runxin Xu, Zhe Wang, Lei LI

Adaptive gradient methods have attracted much attention of machine learning communities due to the high efficiency.

ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization

1 code implementation12 Jun 2020 Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei LI

Due to its simplicity and outstanding ability to generalize, stochastic gradient descent (SGD) is still the most widely used optimization method despite its slow convergence.

Stochastic Optimization

SPAN: A Stochastic Projected Approximate Newton Method

no code implementations10 Feb 2020 Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Yitan Li, Linyun Yu, Yue Yu, Lei LI

SPAN computes the inverse of the Hessian matrix via low-rank approximation and stochastic Hessian-vector products.

Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective

2 code implementations11 Nov 2017 Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen

In this paper, we take a matrix factorization perspective of network embedding, and incorporate structure, content and label information of the network simultaneously.

Link Prediction Network Embedding +1

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