Deep Factors with Gaussian Processes for Forecasting

30 Nov 2018Danielle C. MaddixYuyang WangAlex Smola

A large collection of time series poses significant challenges for classical and neural forecasting approaches. Classical time series models fail to fit data well and to scale to large problems, but succeed at providing uncertainty estimates... (read more)

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