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Dense message passing for sparse principal component analysis
Published on Feb 4, 20254645 Views
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of this type. MCMC proced