Hedging Memory Horizons for Non-Stationary Prediction via Online Aggregation
arXiv:2605.06541v1 Announce Type: cross
Abstract: We study online prediction under distribution shift, where inputs arrive chronologically and outcomes are revealed only after prediction. In this setting, predictors must remain stable in quiet regimes…