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Convex Variational Bayesian Inference for Large Scale Generalized Linear Models

Published on 2009-08-265364 Views

We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. We provide a generic

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