Training and Evaluating Causal Forecasting Models for Time-Series

Deep learning time-series models are often used to make forecasts that inform downstream decisions. Since these decisions can differ from those in the training set, there is an implicit requirement that time-series models will generalize outside of their training distribution. Despite this core requ...

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Hauptverfasser:	Crasson, Thomas, Nabet, Yacine, Lécuyer, Mathias
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning
Online-Zugang:	Volltext bestellen
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