7 citations · 7 across the 4 of their papers we have counts for
Showing stat.MEShow all
2 papers · 1 filter
stat.ME2023
Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics (Rejoinder)
Ryan Giordano, Runjing Liu, Michael I. Jordan +1
One can typically form a local robustness metric for a particular problem quite directly, for Markov chain Monte Carlo applications as well as optimization problems such as variati…
stat.ME2016
Fast Measurements of Robustness to Changing Priors in 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…