2023
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
NeurIPS 2023poster
The vast majority of time-series forecasting approaches require a substantial training dataset. However, many real-life forecasting applications have very little initial observations, sometimes just 40 or fewer. Thus, the applicability of most forecasting methods is restricted in data-sparse commerc…