Qingwen Zeng

Bootstrapped Exploration with Causal Reasoning: A Training Paradigm for Adaptive Forecasting Agent

Time series forecasting is critical in domains such as finance, energy, and healthcare, yet real-world datasets often exhibit non-stationarity, noise, missing values, and distribution shifts, posing severe challenges for generalization. In practice, industry solutions typically rely on customized fo…