- A Gradient Descent Algorithm with Early Stopping
- A Penalized regression with srhinkage towards a prior mean (e.g., estimates derived from another data set)
- A method based on (weighted) Sufficient Statistics.
- A Bayesian model that allows Transfer Learning through prior means.