(2023). On regularization and inference with label constraints. In ICML 2023.

(2023). Independent finite approximations for Bayesian nonparametric inference. Bayesian Analysis Advance Publication.

PDF Cite Slides

(2022). Are you using test log-likelihood correctly?. In ICBINB Workshop at NeurIPS 2022.

PDF Poster

(2022). Measuring the robustness of Gaussian processes to kernel choice. In AISTATS 2022.

PDF Cite

(2020). Approximate cross-validation for structured models. In NeurIPS 2020.

PDF Cite Code

(2020). Optimal transport couplings of Gibbs samplers on partitions for unbiased estimation. In AABI 2021.

PDF Code

(2018). PAC-Bayes Tree: weighted subtrees with guarantees. In NeurIPS 2018.

PDF Cite Code