When the Past Misleads: Rethinking Training Data Expansion Under Temporal Distribution Shifts

Chengyuan Yao, Yunxuan Tang, Christopher Brooks +2

Predictive models are typically trained on historical data to predict future outcomes. While it is commonly assumed that training on more historical data would improve model perfor…