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Amortized Variational Inference for Joint Posterior and Predictive Distributions in Bayesian Uncertainty Quantification
Source: Arxiv CS.AI
arXiv:2605.03710v1 Announce Type: cross Abstract: Bayesian predictive inference propagates parameter uncertainty to quantities of interest through the posterior-predictive distribution. In practice, this is typically performed using a two-stage procedure: first approximating the posterior...
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