However, the improvements offered by our regularization methods can be applied in future work to other model families with more carefully engineered features, metadata features (especially important in forecasting), latent variables, etc.
note that other kinds of weights (e.g., metadata) can be penalized conventionally, or incorporated into the structured regularization where it makes sense to do so (e.g., n-grams, as in Nelakanti et al., 2013).