Decision-Sufficient Posterior Approximation
The paper develops a decision-relative theory for posterior approximation by using contracted KL divergence over Bayes-action fibers to measure distances to decision adequacy and failure. It organizes classical constructions around a target decision problem, showing how regret, information cost, and the realizability of actions determine the quality of an approximation family.