Research works

*: equal contribution. $^\dagger$: co-senior authorship.

• Transformers can learn posterior predictive distributions in-context.
  Kang, G., Lee, C. J.$^\dagger$, & Cheng, X.$^\dagger$ (2026). ICML 2026, to appear.

• Scalable and robust regression models for continuous proportional data.[link] [arxiv] [code]
  Lee, C. J., Dahl, B. K., Ovaskainen, O., & Dunson, D. B. (2026). Journal of the American Statistical Association (Theory and Methods), in press. (Best long talk award at BAYSM 2025) [Talk slides]

• Marginally interpretable spatial logistic regression with bridge processes.[link] [arxiv] [code]
  Lee, C. J., & Dunson, D. B. (2026). Statistics in Medicine, 45, 3-5: e70399.

• Logistic-beta processes for dependent random probabilities with beta marginals.[link] [code]
  Lee, C. J., Zito, A., Sang, H., & Dunson, D. B. (2025). Bayesian Analysis 20(4) 1345-1369.

• A scalable two-stage Bayesian approach accounting for exposure measurement error in environmental epidemiology.[link] [code]
  Lee, C. J., Symanski, E., Rammah, A., Kang, D. H., Hopke, P. K, & Park, E. S. (2024). Biostatistics, kxae038. (Early Career Award, ASA Section on Statistics in Epidemiology)

• Rapidly mixing multiple-try Metropolis algorithms for model selection problems.[link] [code]
  Chang, H.*, Lee, C. J.*, Luo, Z. T., Sang, H., & Zhou, Q. (2022). Advances in Neural Information Processing Systems (NeurIPS) 35 (oral-designated).

• Why the rich get richer? On the balancedness of random partition models.[link] [code]
  Lee, C. J., & Sang, H. (2022). Proceedings of the 39th International Conference on Machine Learning (ICML), PMLR 162:12521 - 12541.

• T-LoHo: A Bayesian regularization model for structured sparsity and smoothness on graphs.[link] [code]
  Lee, C. J., Luo, Z. T., & Sang, H. (2021). Advances in Neural Information Processing Systems (NeurIPS) 34, 598-609.

• Loss-based objective and penalizing priors for model selection problems.[link]
  Lee, C. J. (2023). arXiv preprint arXiv:2311.13347.

Ph.D. Dissertation (2024): Probabilistic clustering methods for complex data and related topics. [link]
Lee, Changwoo , Texas A&M University. (Advisor: Prof. Huiyan Sang)