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An Analysis of Linear Time Series Forecasting Models
Despite their simplicity, linear models perform well at time series forecasting, even when pitted against deeper and more expensive models.
Label Noise: Correcting a Correction
Building upon this observation, we propose imposing a lower bound on the empirical risk during training to mitigate overfitting.
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