Preprints
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Gradient-bridged Posterior: Bayesian Inference for Models with Implicit Functions. Cheng Zeng, Yaozhi Yang, Jason Xu and Leo L Duan. arXiv preprint arXiv:2503.11637, 2025. PDF.
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The Bridged Posterior: Optimization, Profile Likelihood and a New Approach to Generalized Bayes. Cheng Zeng, Eleni Dilma, Jason Xu and Leo L Duan. arXiv preprint arXiv:2403.00968, major revision at Journal of the American Statistical Association, 2024. PDF. Codes.
Publication (Statistical Theory and Methods)
- Consistent Model-based Clustering Using the Quasi-Bernoulli Stick-breaking Process. Cheng Zeng, Jeffrey W Miller, and Leo L Duan. Journal of Machine Learning Research, 24(153):1–32, 2023. PDF. Codes.
Publication (Application)
- Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data. PDF.
Dissertation
- New Methods and Large Sample Theory in Bayesian Nonparametrics and Semiparametrics. PDF.
For a full list of publications and preprints, check my CV or my Google Scholar.