Robust and Scalable Variational Bayes

Carlos Misael Madrid Padilla, Shitao Fan, Lizhen Lin

We propose a robust and scalable framework for variational Bayes (VB) that effectively handles outliers and contamination of arbitrary nature in large datasets. Our approach divide…