arXiv stat.ML
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Beyond Global Divergences: A Local-Mass Perspective on Bayesian Inference
arXiv:2606.27090v1 Announce Type: new Abstract: Global objectives, such as KL divergence and ELBO, are widely used in Bayesian inference for measuring distributional discrepancy. This paper studies their local-mass behaviour that is not directly captured by such objectives. We introduce and use two mathematical tools: