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DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment
Training time-series forecasting models requires aligning the conditional distribution of model forecasts with that of the label sequence. The standard direct forecast (DF) approach resorts to minimizing the conditional negative log-likelihood, typically estimated by the mean squared error. However,
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