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Guangzeng Xie
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Journal Articles
- 2019
- [j1]Haishan Ye, Guangzeng Xie, Luo Luo, Zhihua Zhang:
Fast stochastic second-order method logarithmic in condition number. Pattern Recognit. 88: 629-642 (2019)
Conference and Workshop Papers
- 2021
- [c2]Luo Luo, Cheng Chen, Guangzeng Xie, Haishan Ye:
Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices. AAAI 2021: 8793-8800 - 2020
- [c1]Guangzeng Xie, Luo Luo, Yijiang Lian, Zhihua Zhang:
Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems. ICML 2020: 10504-10513
Informal and Other Publications
- 2021
- [i11]Guangzeng Xie, Yuze Han, Zhihua Zhang:
DIPPA: An improved Method for Bilinear Saddle Point Problems. CoRR abs/2103.08270 (2021) - [i10]Yuze Han, Guangzeng Xie, Zhihua Zhang:
Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction. CoRR abs/2103.08280 (2021) - [i9]Guangzeng Xie, Hao Jin, Dachao Lin, Zhihua Zhang:
Meta-Regularization: An Approach to Adaptive Choice of the Learning Rate in Gradient Descent. CoRR abs/2104.05447 (2021) - [i8]Luo Luo, Guangzeng Xie, Tong Zhang, Zhihua Zhang:
Near Optimal Stochastic Algorithms for Finite-Sum Unbalanced Convex-Concave Minimax Optimization. CoRR abs/2106.01761 (2021) - [i7]Liang Li, Guangzeng Xie:
Complex contraction on trees without proof of correlation decay. CoRR abs/2112.15347 (2021) - 2020
- [i6]Dachao Lin, Peiqin Sun, Guangzeng Xie, Shuchang Zhou, Zhihua Zhang:
Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond. CoRR abs/2008.13128 (2020) - [i5]Luo Luo, Cheng Chen, Guangzeng Xie, Haishan Ye:
Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices. CoRR abs/2009.02553 (2020) - [i4]Wenhao Yang, Xiang Li, Guangzeng Xie, Zhihua Zhang:
Finding the Near Optimal Policy via Adaptive Reduced Regularization in MDPs. CoRR abs/2011.00213 (2020) - 2019
- [i3]Guangzeng Xie, Luo Luo, Zhihua Zhang:
A General Analysis Framework of Lower Complexity Bounds for Finite-Sum Optimization. CoRR abs/1908.08394 (2019) - [i2]Luo Luo, Cheng Chen, Yujun Li, Guangzeng Xie, Zhihua Zhang:
A Stochastic Proximal Point Algorithm for Saddle-Point Problems. CoRR abs/1909.06946 (2019) - 2018
- [i1]Guangzeng Xie, Yitan Wang, Shuchang Zhou, Zhihua Zhang:
Interpolatron: Interpolation or Extrapolation Schemes to Accelerate Optimization for Deep Neural Networks. CoRR abs/1805.06753 (2018)
Coauthor Index
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