ADOWIP uses a decision-loss priority gate to update only when loss exceeds an empirical quantile under budget constraints, showing lower held-out decision loss than always-update or fixed-period baselines on ETT tasks.
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Adapt Only When It Pays: Budgeted Decision-Loss Priority for Delayed Online Time-Series Adaptation
ADOWIP uses a decision-loss priority gate to update only when loss exceeds an empirical quantile under budget constraints, showing lower held-out decision loss than always-update or fixed-period baselines on ETT tasks.