Ganggang Xu

11 papers A* 2Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
XGBoostPP: Tree-based Estimation of Point Process Intensity Functions.
J. Comput. Graph. Stat.
Changqing Lu, Yongtao Guan, Marie-Colette van Lieshout, Ganggang Xu
2024 J jnl
Nonparametric Inference under B-bits Quantization.
J. Mach. Learn. Res.
Kexuan Li, Ruiqi Liu, Ganggang Xu, Zuofeng Shang
2023 J jnl
Distributed adaptive nearest neighbor classifier: algorithm and theory.
Stat. Comput.
Ruiqi Liu, Ganggang Xu, Zuofeng Shang
2021 J jnl
Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory.
CoRR
Ruiqi Liu, Ganggang Xu, Zuofeng Shang
2021 A* conf
Row-clustering of a Point Process-valued Matrix.
NeurIPS
Lihao Yin, Ganggang Xu, Huiyan Sang, Yongtao Guan
2021 J jnl
Row-clustering of a Point Process-valued Matrix.
CoRR
Lihao Yin, Ganggang Xu, Huiyan Sang, Yongtao Guan
2020 J jnl
Borrowing strength and borrowing index for Bayesian hierarchical models.
Comput. Stat. Data Anal.
Ganggang Xu, Huirong Zhu, J. Jack Lee
2020 J jnl
Semi-parametric Learning of Structured Temporal Point Processes.
J. Mach. Learn. Res.
Ganggang Xu, Ming Wang, Jiangze Bian, Hui Huang, Timothy R. Burch, Sandro C. Andrade, Jingfei Zhang, Yongtao Guan
2019 J jnl
Optimal Nonparametric Inference under Quantization.
CoRR
Ruiqi Liu, Ganggang Xu, Zuofeng Shang
2018 A* conf
Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data.
ICML
Ganggang Xu, Zuofeng Shang, Guang Cheng
2015 J jnl
Efficient maximum approximated likelihood inference for Tukey's g-and-h distribution.
Comput. Stat. Data Anal.
Ganggang Xu, Marc G. Genton