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Approximations to worst-case data dropping: unmasking failure modes
A data analyst might worry about generalization if dropping a very small fraction of data points from a study could change its …
Jenny Y. Huang, David R. Burt, Yunyi Shen, Tin Nguyen, Tamara Broderick
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Are you using test log-likelihood correctly?
Test log-likelihood is commonly used to compare different models of the same data or different approximate inference algorithms for …
Sameer K. Deshpande, Soumya Ghosh, Tin Nguyen, Tamara Broderick
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Independent finite approximations for Bayesian nonparametric inference
Completely random measures (CRMs) and their normalizations (NCRMs) offer flexible models in Bayesian nonparametrics. But their infinite …
Tin Nguyen, Jonathan Huggins, Lorenzo Masoero, Lester Mackey, Tamara Broderick
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