Supervised learning of sheared distributions using linearized optimal transport

In this paper we study supervised learning tasks on the space of probability measures. We approach this problem by embedding the space of probability measures into L^2 spaces using the optimal transport framework. In the embedding spaces, regular machine learning techniques are used to achieve linear separability. This idea has... Show more