Tamara Broderick

9 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0003-4704-5196

Publications

• How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences — Journal of Machine Learning Research 2025
• Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation — Journal of the American Statistical Association 2024
• Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box — Journal of Machine Learning Research 2024
• Confidently Comparing Estimates with the c-value — Journal of the American Statistical Association 2024
• The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time — Journal of Machine Learning Research 2023
• More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics — Biometrika 2022
• Automated Scalable Bayesian Inference via Hilbert Coresets — Journal of Machine Learning Research 2019
• Covariances, Robustness, and Variational Bayes — Journal of Machine Learning Research 2018
• Comment: Nonparametric Bayes Modeling of Populations of Networks — Journal of the American Statistical Association 2017