Ganggang Xu

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 9

Top Topics

Belief Networks

Kernel Ridge Regression

Point Processes

Top Venues

Comput. Stat. Data Anal.

J. Mach. Learn. Res.

Publications

Ruiqi Liu, Ganggang Xu, Zuofeng Shang
Distributed adaptive nearest neighbor classifier: algorithm and theory. Stat. Comput. 33 (5) (2023)
Lihao Yin, Ganggang Xu, Huiyan Sang, Yongtao Guan
Row-clustering of a Point Process-valued Matrix. CoRR (2021)
Lihao Yin, Ganggang Xu, Huiyan Sang, Yongtao Guan
Row-clustering of a Point Process-valued Matrix. NeurIPS (2021)
Ruiqi Liu, Ganggang Xu, Zuofeng Shang
Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory. CoRR (2021)
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 (2020)
Ganggang Xu, Huirong Zhu, J. Jack Lee
Borrowing strength and borrowing index for Bayesian hierarchical models. Comput. Stat. Data Anal. 144 (2020)
Ruiqi Liu, Ganggang Xu, Zuofeng Shang
Optimal Nonparametric Inference under Quantization. CoRR (2019)
Ganggang Xu, Zuofeng Shang, Guang Cheng
Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data. ICML (2018)
Ganggang Xu, Marc G. Genton
Efficient maximum approximated likelihood inference for Tukey's g-and-h distribution. Comput. Stat. Data Anal. 91 (2015)