58 citations · 152 across the 23 of their papers we have counts for
4 papers · 1 filter
Fast robustness quantification with variational Bayes
Ryan Giordano, Tamara Broderick, Rachael Meager +2
Bayesian hierarchical models are increasing popular in economics. When using hierarchical models, it is useful not only to calculate posterior expectations, but also to measure the…
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…
Covariance Matrices 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…