2026
DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting
AAAI 2026technical
Time-Series (TS) exhibits pronounced non-stationarity. Consequently, most forecasting methods display compromised robustness to concept drift, despite the prevalent application of instance normalization. We tackle this challenge by first analysing concept drift through a bias-variance lens and provi