PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference

Jonathan H. Huggins, Ryan P. Adams, Tamara Broderick

Generalized linear models (GLMs) -- such as logistic regression, Poisson regression, and robust regression -- provide interpretable models for diverse data types. Probabilistic app…