| A Bayesian contiguous partitioning method for learning clustered latent variables ZT Luo, H Sang, B Mallick Journal of Machine Learning Research 22 (37), 1-52, 2021 | 30 | 2021 |
| Rapidly mixing multiple-try Metropolis algorithms for model selection problems H Chang, C Lee, ZT Luo, H Sang, Q Zhou Advances in Neural Information Processing Systems 35, 25842-25855, 2022 | 7 | 2022 |
| BAST: Bayesian additive regression spanning trees for complex constrained domain ZT Luo, H Sang, B Mallick Advances in Neural Information Processing Systems 34, 90-102, 2021 | 6 | 2021 |
| T-LoHo: A Bayesian regularization model for structured sparsity and smoothness on graphs C Lee, ZT Luo, H Sang Advances in Neural Information Processing Systems 34, 598-609, 2021 | 6 | 2021 |
| Bayesian clustering of spatial functional data with application to a human mobility study during COVID-19 B Zhang, H Sang, ZT Luo, H Huang The Annals of Applied Statistics 17 (1), 583-605, 2023 | 4 | 2023 |
| A Nonstationary Soft Partitioned Gaussian Process Model via Random Spanning Trees ZT Luo, H Sang, B Mallick Journal of the American Statistical Association, 1-12, 2023 | 2 | 2023 |
| BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression ZT Luo, H Sang, B Mallick International Conference on Machine Learning, 14509-14526, 2022 | 2 | 2022 |
| S1 Details of the MCMC Algorithm B Zhang, H Sang, ZT Luo, H Huang | | |
| Supplementary Materials of “BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain” ZT Luo, H Sang, B Mallick | | |
| Appendix of “T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs CJ Lee, ZT Luo, H Sang | | |
