Huiyan Sang

21 papers A* 7Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Nonparametric density estimation on complex domains using manifold-aware Bayesian additive tree models.
Comput. Stat. Data Anal.
Isaac Diaz-Ray, Huiyan Sang, Guanyu Hu, Ligang Lu
2025 J jnl
SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules.
CoRR
Stamatina Lamprinakou, Huiyan Sang, Bledar A. Konomi, Ligang Lu
2023 J jnl
Sparse spatially clustered coefficient model via adaptive regularization.
Comput. Stat. Data Anal.
Yan Zhong, Huiyan Sang, Scott J. Cook, Paul M. Kellstedt
2023 A* conf
Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization.
ICML
Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Tobias Schäfer, Matthias Katzfuss
2023 J jnl
Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization.
CoRR
Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Schäfer, Matthias Katzfuss
2022 A* conf
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression.
ICML
Zhao Tang Luo, Huiyan Sang, Bani K. Mallick
2022 J jnl
Inferring Changes in Arctic Sea Ice through a Spatio-Temporal Logistic Autoregression Fitted to Remote-Sensing Data.
Remote. Sens.
Bohai Zhang, Furong Li, Huiyan Sang, Noel Cressie
2022 A* conf
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems.
NeurIPS
Hyunwoong Chang, Changwoo J. Lee, Zhao Tang Luo, Huiyan Sang, Quan Zhou
2022 A* conf
Why the Rich Get Richer? On the Balancedness of Random Partition Models.
ICML
Changwoo J. Lee, Huiyan Sang
2022 J jnl
Why the Rich Get Richer? On the Balancedness of Random Partition Models.
CoRR
Changwoo J. Lee, Huiyan Sang
2021 J jnl
A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables.
J. Mach. Learn. Res.
Zhao Tang Luo, Huiyan Sang, Bani K. Mallick
2021 A* conf
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain.
NeurIPS
Zhao Tang Luo, Huiyan Sang, Bani K. Mallick
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
2021 A* conf
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs.
NeurIPS
Changwoo J. Lee, Zhao Tang Luo, Huiyan Sang
2017 J jnl
Sensing Statistical Primary Network Patterns via Bayesian Network Structure Learning.
IEEE Trans. Veh. Technol.
Weijia Han, Huiyan Sang, Xiao Ma, Jiandong Li, Yanyan Zhang, Shuguang Cui
2015 J jnl
An adaptive spatial model for precipitation data from multiple satellites over large regions.
Stat. Comput.
Avishek Chakraborty, Swarup De, Kenneth P. Bowman, Huiyan Sang, Marc G. Genton, Bani K. Mallick
2015 — conf
Efficient learning of statistical primary patterns via Bayesian network.
ICC
Weijia Han, Huiyan Sang, Min Sheng, Jiandong Li, Shuguang Cui
2015 J jnl
Full scale multi-output Gaussian process emulator with nonseparable auto-covariance functions.
J. Comput. Phys.
Bohai Zhang, Bledar A. Konomi, Huiyan Sang, Georgios Karagiannis, Guang Lin
2014 J jnl
Cognitive Learning of Statistical Primary Patterns via Bayesian Network.
CoRR
Weijia Han, Huiyan Sang, Min Sheng, Jiandong Li, Shuguang Cui
2009 J jnl
Improving the performance of predictive process modeling for large datasets.
Comput. Stat. Data Anal.
Andrew O. Finley, Huiyan Sang, Sudipto Banerjee, Alan E. Gelfand