2 papers
cs.LG2025
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting
Qingdi Yu, Zhiwei Cao, Ruihang Wang +5
Time series forecasting is crucial for applications like resource scheduling and risk management, where multi-step predictions provide a comprehensive view of future trends. Uncert…
cs.LG2025
Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms
Ninghui Feng, Songning Lai, Xin Zhou +9
In real-world time series forecasting, uncertainty and lack of reliable evaluation pose significant challenges. Notably, forecasting errors often arise from underfitting in-distrib…