Giordano, Ryan

4 publications

JMLR 2025 How Good Is Your Laplace Approximation of the Bayesian Posterior? Finite-Sample Computable Error Bounds for a Variety of Useful Divergences Mikolaj J. Kasprzak, Ryan Giordano, Tamara Broderick

JMLR 2024 Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box Ryan Giordano, Martin Ingram, Tamara Broderick

AISTATS 2019 A Swiss Army Infinitesimal Jackknife Ryan Giordano, William Stephenson, Runjing Liu, Michael Jordan, Tamara Broderick

JMLR 2018 Covariances, Robustness, and Variational Bayes Ryan Giordano, Tamara Broderick, Michael I. Jordan