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Forecasting Hierarchical Time Series with a Regularized Embedding Space

This paper proposes a new approach to reconciliation, whereby a regularization term penalizes deviation from the known structure of the collection in a learned embedding space.

Forecasting Hierarchical Time Series with a Regularized Embedding Space

This paper proposes a new approach to reconciliation, whereby a regularization term penalizes deviation from the known structure of the collection in a learned embedding space.

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Forecasting Hierarchical Time Series with a Regularized Embedding Space

Forecasting Hierarchical Time Series with a Regularized Embedding Space

Download White Paper