Pseudo-Label-Triggered Retraining from Forecast Errors for Online Time Series Forecasting.

arXiv:2609.39789v1 Announce Type: cross Abstract: Real-world time series forecasting systems operate under non-stationary data streams, where forecasting performance may degrade over time. Although retraining can recover the performance, it incurs non-trivial