Comparing the standard Bayesian posterior to a predictive-oriented mixture posterior Q fitted via variational gradient descent detects model misspecification in inverse problems.
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Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent
Comparing the standard Bayesian posterior to a predictive-oriented mixture posterior Q fitted via variational gradient descent detects model misspecification in inverse problems.