Nguyen, Tin D.

11 publications

TMLR 2025 Approximations to Worst-Case Data Dropping: Unmasking Failure Modes Jenny Y. Huang, David R. Burt, Yunyi Shen, Tin D. Nguyen, Tamara Broderick

ICLRW 2025 Approximations to Worst-Case Data Dropping: Unmasking Failure Modes Jenny Y. Huang, David R. Burt, Yunyi Shen, Tin D. Nguyen, Tamara Broderick

TMLR 2024 Are You Using Test Log-Likelihood Correctly? Sameer Deshpande, Soumya Ghosh, Tin D. Nguyen, Tamara Broderick

ICMLW 2024 Using Gradients to Check Sensitivity of MCMC-Based Analyses to Removing Data Tin D. Nguyen, Ryan James Giordano, Rachael Meager, Tamara Broderick

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

AISTATS 2022 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 Deshpande, Tamara Broderick

NeurIPSW 2022 Are You Using Test Log-Likelihood Correctly? Sameer Deshpande, Soumya Ghosh, Tin D. Nguyen, Tamara Broderick

NeurIPS 2020 Approximate Cross-Validation for Structured Models Soumya Ghosh, Will Stephenson, Tin D Nguyen, Sameer Deshpande, Tamara Broderick

NeurIPSW 2020 Independent Versus Truncated Finite Approximations for Bayesian Nonparametric Inference Tin D. Nguyen, Jonathan H. Huggins, Lorenzo Masoero, Lester Mackey, Tamara Broderick

NeurIPS 2018 PAC-Bayes Tree: Weighted Subtrees with Guarantees Tin D Nguyen, Samory Kpotufe