Why the Rich Get Richer? On the Balancedness of Random Partition Models CJ Lee, H Sang International Conference on Machine Learning (ICML), 2022 | 8 | 2022 |
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems H Chang*, CJ Lee*, ZT Luo, H Sang, Q Zhou Advances in Neural Information Processing Systems (NeurIPS) 35, 2022 | 7 | 2022 |
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs CJ Lee, ZT Luo, H Sang Advances in Neural Information Processing Systems (NeurIPS) 34, 2021 | 6 | 2021 |
Logistic-beta processes for modeling dependent random probabilities with beta marginals CJ Lee, A Zito, H Sang, DB Dunson arXiv preprint arXiv:2402.07048, 2024 | | 2024 |
A scalable two-stage Bayesian approach accounting for exposure measurement error in environmental epidemiology CJ Lee, E Symanski, A Rammah, DH Kang, PK Hopke, ES Park arXiv preprint arXiv:2401.00634, 2024 | | 2024 |
Loss-based Objective and Penalizing Priors for Model Selection Problems CJ Lee arXiv preprint arXiv:2311.13347, 2023 | | 2023 |
Appendix of “T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs CJ Lee, ZT Luo, H Sang | | |