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Robust Variational Inference

Robust variational inference (RVI) extends standard variational inference by replacing the Kullback-Leibler divergence with a divergence measure that is less sensitive to outliers and model misspecification — such as the beta-divergence or a Renyi-type divergence. This yields posterior approximations that remain well-behaved even when a fraction of the data departs from the assumed model.

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Rekod kaedah taksonomik · bayesian / bayesian

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See alsoApproximate Bayesian Computationmachine-suggested · Relational suggestion, not evidence.Same method familyBayesian Regressionmachine-suggested · Relational suggestion, not evidence.See alsoMarkov Chain Monte Carlomachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Bayesian Inferencemachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Markov chain Monte Carlomachine-suggested · Relational suggestion, not evidence.Same method familyVariational Inferencemachine-suggested · Relational suggestion, not evidence.