Sarat Moka

Beyond Global Divergences: A Local-Mass Perspective on Bayesian Inference

Hanli Xu, Fengxiang He, Sarat Moka

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: (1) Mass…Read more