OLMA: One Loss for More Accurate Time Series Forecasting

Tianyi Shi, Zhu Meng, Yue Chen +5

Time series forecasting faces two important but often overlooked challenges. Firstly, the inherent random noise in the time series labels sets a theoretical lower bound for the for…