Before revision: Summarizing data via representative examples is an important problem in several machine learning applications where human understanding of the learning models and underlying data distribution is essential for decision making.
After revision: In this work, we develop an optimal transport (OT) based framework to select informative prototypical examples that best represent a given target dataset. Summarizing a given target dataset via representative examples is an important problem in several machine learning applications where human understanding of the learning models and underlying data distribution is essential for decision making.