Sang, Huiyan

8 publications

ICML 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

ICML 2022 BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression Zhao Tang Luo, Huiyan Sang, Bani Mallick

NeurIPS 2022 Rapidly Mixing Multiple-Try Metropolis Algorithms for Model Selection Problems Hyunwoong Chang, Changwoo Lee, Zhao Tang Luo, Huiyan Sang, Quan Zhou

ICML 2022 Why the Rich Get Richer? on the Balancedness of Random Partition Models Changwoo J Lee, Huiyan Sang

JMLR 2021 A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables Zhao Tang Luo, Huiyan Sang, Bani Mallick

NeurIPS 2021 BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain Zhao Tang Luo, Huiyan Sang, Bani Mallick

NeurIPS 2021 Row-Clustering of a Point Process-Valued Matrix Lihao Yin, Ganggang Xu, Huiyan Sang, Yongtao Guan

NeurIPS 2021 T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs Changwoo Lee, Zhao Tang Luo, Huiyan Sang