... distinguish informative and noisy samples. At the feature level, outcome-adaptive $L_2$ regularization for linear models and an outcome-adaptive distance metric learning-based Gaussian kernel for nonlinear models enable dynamic suppression of redundant features. Findings Experiments on 2 synthetic...