In this document we provide supplementary materials that we are not able to fit into the main manuscriptduetothepagelimit. The dimensions of the hidden features of the three-layer GCN are set toF, F/2, and F respectively. The dataset is separated into ten parts. We generate ten validation accuracy curves when setting each of parts as the validation one. The ten curves are then averaged.

Understanding how these systems arrive at their decisions is a necessary first step before these biases can be corrected.

Earlier schemes could only handle stochastic substitutions anddeletions, andthus weareaiming foramore natural and appealing robustness guarantee that holds with respect to editdistance.

In such cases, it is essential to be able to provide explanations for each link of the decision chain, including AI algorithms.

We demonstrate similar speedups when MABSplit is used across a variety of forest-based variants, such as Extremely Random Forests and Random Patches.