You can also find my articles on my Google Scholar.

* : equal contribution.


  • H. Chang, J. Cai and Q. Zhou. Order-based Structure Learning without Score Equivalence. Biometrika, 2024.[link] [arXiv]

  • Q. Zhou and H. Chang. Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes. Annals of Statistics, 2023. [link] [arXiv]

  • H. Chang*, CJ. Lee*, ZT. Luo, H. Sang and Q. Zhou. Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems. NeurIPS, 2022, Selected as oral presentation (201 out of 10,411, acceptance rate 2%). [link] [arXiv]

  • H. Jeong, H. Chang and EA. Valdez. A non-convex regularization approach for stable estimation of loss development factors. Scandinavian Actuarial Journal, 2021 [link]

  • Y. Kim, Y. Kwon, H. Chang and MC. Paik. Lipschitz Continuous Autoencoders in Application to Anomaly Detection. AISTATS, 2020. [link]


  • H. Chang and Q. Zhou. Dimension-free Relaxation Times of Informed MCMC Samplers on Discrete Spaces. manuscript, [arXiv]