Publications

Tin Nguyen, Ryan Giordano, Rachael Meager, Tamara Broderick (2024). Sensitivity of MCMC-based analyses to small-data removal.

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Jenny Y. Huang, David R. Burt, Tin Nguyen, Yunyi Shen, Tamara Broderick (2024). Approximations to worst-case data dropping: unmasking failure modes.

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Tin Nguyen, Ryan Giordano, Rachael Meager, Tamara Broderick (2024). Using gradients to check sensitivity of MCMC-based analyses to removing data. In DiffAE 2024.

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Sameer K. Deshpande, Soumya Ghosh, Tin Nguyen, Tamara Broderick (2024). Are you using test log-likelihood correctly?. In TMLR.

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Kaifu Wang, Hangfeng He, Tin Nguyen, Piyush Kumar, Dan Roth (2023). On regularization and inference with label constraints. In ICML 2023.

Tin Nguyen, Jonathan Huggins, Lorenzo Masoero, Lester Mackey, Tamara Broderick (2023). Independent finite approximations for Bayesian nonparametric inference. Bayesian Analysis Advance Publication.

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William T. Stephenson, Soumya Ghosh, Tin Nguyen, Mikhail Yurochkin, Sameer K. Deshpande, Tamara Broderick (2022). Measuring the robustness of Gaussian processes to kernel choice. In AISTATS 2022.

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Tin Nguyen, Brian L. Trippe, Tamara Broderick (2022). Many processors, little time: MCMC for partitions via optimal transport couplings. In AISTATS 2022.

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William T. Stephenson, Soumya Ghosh, Tin Nguyen, Sameer K. Deshpande, Tamara Broderick (2020). Approximate cross-validation for structured models. In NeurIPS 2020.

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Brian L. Trippe, Tin Nguyen, Tamara Broderick (2020). Optimal transport couplings of Gibbs samplers on partitions for unbiased estimation. In AABI 2021.

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Tin Nguyen, Samory Kpotufe (2018). PAC-Bayes Tree: weighted subtrees with guarantees. In NeurIPS 2018.

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