Patterns of Scalable Bayesian Inference
Elaine Angelino, Matthew James Johnson & Ryan P. Adams
Patterns of Scalable Bayesian Inference
Elaine Angelino, Matthew James Johnson & Ryan P. Adams
Paperback
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Engels
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Omschrijving
Identifies unifying principles, patterns, and intuitions for scaling Bayesian inference. This book examines how these techniques can be scaled up to larger problems and scaled out across parallel computational resources, and reviews existing work on utilizing computing resources with both MCMC and variational approximation techniques.