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

Approximate Cross-Validation for Structured Models. - Soumya Ghosh; William T. Stephenson; Tin D. Nguyen; Sameer K. Deshpande; Tamara Broderick (NeurIPS, 2020)

Measuring the sensitivity of Gaussian processes to kernel choice. - William T. Stephenson; Soumya Ghosh; Tin D. Nguyen; Mikhail Yurochkin; Sameer K. Deshpande; Tamara Broderick (CoRR, 2021)

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

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

On Regularization and Inference with Label Constraints. - Kaifu Wang; Hangfeng He 001; Tin D. Nguyen; Piyush Kumar; Dan Roth (ICML, 2023)

Are you using test log-likelihood correctly? - Sameer K. Deshpande; Soumya Ghosh; Tin D. Nguyen; Tamara Broderick (Trans. Mach. Learn. Res., 2024)

Approximations to worst-case data dropping: unmasking failure modes. - Jenny Y. Huang; David R. Burt; Yunyi Shen; Tin D. Nguyen; Tamara Broderick (Trans. Mach. Learn. Res., 2025)