Kullback–Leibler divergence

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Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function

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Importance Weighted Hierarchical Variational Inference

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Ranking variables and interactions using predictive uncertainty measures

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Bayesian Neural Networks With Maximum Mean Discrepancy Regularization

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Adversarial Detection and Correction by Matching Prediction Distributions

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Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm

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Schrödinger Bridge Samplers

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