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Variance Reduced Training with Stratied Sampling
for Forecasting Models
Yucheng Lu 1 2 Youngsuk Park 2 Lifan Chen 2 Yuyang Wang 2 Christopher De Sa 1 Dean Foster 3 4
Abstract 2004) are the folklore methods for modeling the dynamics
In large-scale time series forecasting, one often en- of a single time series. Recently, deep forecasting models
counters the situation where the temporal patterns (Faloutsos et al., 2019) that levera ...
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