Huiyan Sang

According to our database, Huiyan Sang authored at least 17 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Sparse spatially clustered coefficient model via adaptive regularization.

Yan Zhong, Huiyan Sang, Scott J. Cook, Paul M. Kellstedt

Comput. Stat. Data Anal., 2023

Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization.

Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Schäfer, Matthias Katzfuss

CoRR, 2023

Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization.

Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Tobias Schaefer, Matthias Katzfuss

Proceedings of the International Conference on Machine Learning, 2023

2022

Inferring Changes in Arctic Sea Ice through a Spatio-Temporal Logistic Autoregression Fitted to Remote-Sensing Data.

Bohai Zhang, Furong Li, Huiyan Sang, Noel Cressie

Remote. Sens., December, 2022

Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems.

Hyunwoong Chang, Changwoo J. Lee, Zhao Tang Luo, Huiyan Sang, Quan Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression.

Zhao Tang Luo, Huiyan Sang, Bani K. Mallick

Proceedings of the International Conference on Machine Learning, 2022

Why the Rich Get Richer? On the Balancedness of Random Partition Models.

Changwoo J. Lee, Huiyan Sang

Proceedings of the International Conference on Machine Learning, 2022

2021

A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables.

Zhao Tang Luo, Huiyan Sang, Bani K. Mallick

J. Mach. Learn. Res., 2021

Row-clustering of a Point Process-valued Matrix.

Lihao Yin, Ganggang Xu, Huiyan Sang, Yongtao Guan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain.

Zhao Tang Luo, Huiyan Sang, Bani K. Mallick

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs.

Changwoo J. Lee, Zhao Tang Luo, Huiyan Sang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2017

Sensing Statistical Primary Network Patterns via Bayesian Network Structure Learning.

Weijia Han, Huiyan Sang, Xiao Ma, Jiandong Li, Yanyan Zhang, Shuguang Cui

IEEE Trans. Veh. Technol., 2017

2015

An adaptive spatial model for precipitation data from multiple satellites over large regions.

Avishek Chakraborty, Swarup De, Kenneth P. Bowman, Huiyan Sang, Marc G. Genton, Bani K. Mallick

Stat. Comput., 2015

Full scale multi-output Gaussian process emulator with nonseparable auto-covariance functions.

Bohai Zhang, Bledar A. Konomi, Huiyan Sang, Georgios Karagiannis, Guang Lin

J. Comput. Phys., 2015

Efficient learning of statistical primary patterns via Bayesian network.

Weijia Han, Huiyan Sang, Min Sheng, Jiandong Li, Shuguang Cui

Proceedings of the 2015 IEEE International Conference on Communications, 2015

2014

Cognitive Learning of Statistical Primary Patterns via Bayesian Network.

Weijia Han, Huiyan Sang, Min Sheng, Jiandong Li, Shuguang Cui

CoRR, 2014

2009

Improving the performance of predictive process modeling for large datasets.

Andrew O. Finley, Huiyan Sang, Sudipto Banerjee, Alan E. Gelfand

Comput. Stat. Data Anal., 2009