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Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models
The design of learning objectives is central to training time-series forecasting models. Existing learning objectives such as mean squared error mostly treat each future step as an independent, equally weighted task, which leads to the following two challenges: (1) they overlook the label autocorrel
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