Supplemental Material: Meta-Learning for Relative Density-Ratio Estimation

Each dataset has 513 instances on average. School contains the examination scores of students from 139 schools (datasets). The average outlier rates in a dataset of IoT, Landmine, and School are 0.05, 0.06, and 0.15, For IoT, we randomly chose one target, one validation, and seven source datasets. Algorithm 1 Training procedure of our model for inlier-based outlier detection.Require: LOF and IF use only target unlabeled instances to find outliers. For both methods, the best test AUCs were reported.