<ul><li>The paper discusses how hyperparameter tuning enhances Anchor Data Augmentation (ADA) for robust regression.</li><li>Anchor Data Augmentation is a technique that introduces artificial heterogeneity in the target variable by leveraging an anchor variable.</li><li>The paper presents the construction of the anchor matrix and the impact of hyperparameter values on the augmentation procedure.</li><li>The authors recommend applying ADA on each minibatch instead of the entire dataset to add diversity to the mixing behavior.</li></ul>

How Hyperparameter Tuning Enhances Anchor Data Augmentation for Robust Regression

Discover more