58 citations · 152 across the 23 of their papers we have counts for
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Robust Inference with Variational Bayes
Ryan Giordano, Tamara Broderick, Michael Jordan
In Bayesian analysis, the posterior follows from the data and a choice of a prior and a likelihood. One hopes that the posterior is robust to reasonable variation in the choice of…
Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes
Ryan Giordano, Tamara Broderick, Michael Jordan
Mean field variational Bayes (MFVB) is a popular posterior approximation method due to its fast runtime on large-scale data sets. However, it is well known that a major failing of…
Covariance Matrices and Influence Scores for Mean Field Variational Bayes
Ryan Giordano, Tamara Broderick
Mean field variational Bayes (MFVB) is a popular posterior approximation method due to its fast runtime on large-scale data sets. However, it is well known that a major failing of…