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2020 – today
- 2024
[j5]Kexuan Li, Ruiqi Liu, Ganggang Xu, Zuofeng Shang:
Nonparametric Inference under B-bits Quantization. J. Mach. Learn. Res. 25: 19:1-19:68 (2024)- 2023
- [j4]Ruiqi Liu, Ganggang Xu, Zuofeng Shang:
Distributed adaptive nearest neighbor classifier: algorithm and theory. Stat. Comput. 33(5): 96 (2023) - 2021
- [c2]Lihao Yin, Ganggang Xu, Huiyan Sang, Yongtao Guan:
Row-clustering of a Point Process-valued Matrix. NeurIPS 2021: 20028-20039 - [i3]Ruiqi Liu, Ganggang Xu, Zuofeng Shang:
Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory. CoRR abs/2105.09788 (2021) - [i2]Lihao Yin, Ganggang Xu, Huiyan Sang, Yongtao Guan:
Row-clustering of a Point Process-valued Matrix. CoRR abs/2110.01207 (2021) - 2020
- [j3]Ganggang Xu
, Huirong Zhu, J. Jack Lee:
Borrowing strength and borrowing index for Bayesian hierarchical models. Comput. Stat. Data Anal. 144: 106901 (2020) - [j2]Ganggang Xu, Ming Wang, Jiangze Bian, Hui Huang, Timothy R. Burch, Sandro C. Andrade, Jingfei Zhang, Yongtao Guan:
Semi-parametric Learning of Structured Temporal Point Processes. J. Mach. Learn. Res. 21: 192:1-192:39 (2020)
2010 – 2019
- 2019
- [i1]Ruiqi Liu, Ganggang Xu, Zuofeng Shang:
Optimal Nonparametric Inference under Quantization. CoRR abs/1901.08571 (2019) - 2018
- [c1]Ganggang Xu, Zuofeng Shang, Guang Cheng:
Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data. ICML 2018: 5479-5487 - 2015
- [j1]Ganggang Xu, Marc G. Genton:
Efficient maximum approximated likelihood inference for Tukey's g-and-h distribution. Comput. Stat. Data Anal. 91: 78-91 (2015)
Coauthor Index
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