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generalized linear models
Accelerating Generalized Linear Models by Trading Off Computation for Uncertainty
Bayesian Generalized Linear Models (GLMs) define a flexible probabilistic framework to model categorical, ordinal and continuous data, and are widely used in practice. However, exact inference in GLMs is prohibitively expensive for large datasets, …