Learning Debt and Cost-Sensitive Bayesian Retraining: A Forecasting Operations Framework
arXiv:2604.06438v1 Announce Type: cross
Abstract: Forecasters often choose retraining schedules by convention rather than by an explicit decision rule. This paper gives that decision a posterior-space language. We define learning debt as the divergenc…