Huiyan Sang

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 14

Top Topics

Gaussian Process

Top Venues

Publications

Yan Zhong, Huiyan Sang, Scott J. Cook, Paul M. Kellstedt
Sparse spatially clustered coefficient model via adaptive regularization. Comput. Stat. Data Anal. 177 (2023)
Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Tobias Schaefer, Matthias Katzfuss
Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization. ICML (2023)
Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Schäfer, Matthias Katzfuss
Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization. CoRR (2023)
Changwoo J. Lee, Huiyan Sang
Why the Rich Get Richer? On the Balancedness of Random Partition Models. ICML (2022)
Zhao Tang Luo, Huiyan Sang, Bani K. Mallick
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression. ICML (2022)
Bohai Zhang, Furong Li, Huiyan Sang, Noel Cressie
Inferring Changes in Arctic Sea Ice through a Spatio-Temporal Logistic Autoregression Fitted to Remote-Sensing Data. Remote. Sens. 14 (23) (2022)
Changwoo J. Lee, Huiyan Sang
Why the Rich Get Richer? On the Balancedness of Random Partition Models. CoRR (2022)
Hyunwoong Chang, Changwoo J. Lee, Zhao Tang Luo, Huiyan Sang, Quan Zhou
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems. NeurIPS (2022)
Zhao Tang Luo, Huiyan Sang, Bani K. Mallick
A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables. J. Mach. Learn. Res. 22 (2021)
Lihao Yin, Ganggang Xu, Huiyan Sang, Yongtao Guan
Row-clustering of a Point Process-valued Matrix. CoRR (2021)
Changwoo J. Lee, Zhao Tang Luo, Huiyan Sang
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs. NeurIPS (2021)
Lihao Yin, Ganggang Xu, Huiyan Sang, Yongtao Guan
Row-clustering of a Point Process-valued Matrix. NeurIPS (2021)
Zhao Tang Luo, Huiyan Sang, Bani K. Mallick
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain. NeurIPS (2021)
Weijia Han, Huiyan Sang, Xiao Ma, Jiandong Li, Yanyan Zhang, Shuguang Cui
Sensing Statistical Primary Network Patterns via Bayesian Network Structure Learning. IEEE Trans. Veh. Technol. 66 (4) (2017)
Weijia Han, Huiyan Sang, Min Sheng, Jiandong Li, Shuguang Cui
Efficient learning of statistical primary patterns via Bayesian network. ICC (2015)
Avishek Chakraborty, Swarup De, Kenneth P. Bowman, Huiyan Sang, Marc G. Genton, Bani K. Mallick
An adaptive spatial model for precipitation data from multiple satellites over large regions. Stat. Comput. 25 (2) (2015)
Bohai Zhang, Bledar A. Konomi, Huiyan Sang, Georgios Karagiannis, Guang Lin
Full scale multi-output Gaussian process emulator with nonseparable auto-covariance functions. J. Comput. Phys. 300 (2015)
Weijia Han, Huiyan Sang, Min Sheng, Jiandong Li, Shuguang Cui
Cognitive Learning of Statistical Primary Patterns via Bayesian Network. CoRR (2014)
Andrew O. Finley, Huiyan Sang, Sudipto Banerjee, Alan E. Gelfand
Improving the performance of predictive process modeling for large datasets. Comput. Stat. Data Anal. 53 (8) (2009)