Publications

Ke Li, Wei Han, Yuexi Wang, Yun Yang (2026). An Optimal Transport-Based Generative Model for Bayesian Posterior Sampling. Journal of the Royal Statistical Society, Series B.

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Yuexi Wang (2026). Invited Discussion of of ‘Robust Probabilistic Inference via a Constrained Transport Metric’. Bayesian Analysis.

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Leo Duan, Yuexi Wang, Jason Xu (2026). Bayesian Distance-to-Set Models: from Latent Variable to Latent Projection.

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Yuexi Wang, Veronika Rockova (2026). Generative Bayesian Inference with GANs. Journal of Machine Learning Research.

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Haoyu Jiang, Yuexi Wang, Yun Yang (2026). Likelihood-free Inference via Structured Score Matching. Conference on Artificial Intelligence and Statistics (AISTATS).

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Haoyu Jiang, Yuexi Wang, Yun Yang (2025). Simulation-based Inference via Langevin Dynamics with Score Matching.

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Yuexi Wang, Nicholas G. Polson (2024). Pochhammer Priors for Sparse Count Models.

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Yuexi Wang, Nicholas G Polson, Vadim Sokolov (2023). Data Augmentation for Bayesian Deep Learning. Bayesian Analysis.

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Yuexi Wang, Tetsuya Kaji, Veronika Rockova (2022). Approximate Bayesian Computation via Classification. Journal of Machine Learning Research.

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Yi Liu, Veronika Rockova, Yuexi Wang (2021). Variable Selection with ABC Bayesian Forests. Journal of the Royal Statistical Society, Series B.

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Yuexi Wang, Veronika Rockova (2020). Uncertainty Quantification for Sparse Deep Learning. Conference on Artificial Intelligence and Statistics (AISTATS).

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