Wasserstein Regression as a Variational Approximation of Probabilistic Trajectories through the Bernstein Basis

Maksim Maslov, Alexander Kugaevskikh, Matthew Ivanov

This paper considers the problem of regression over distributions, which is becoming increasingly important in machine learning. Existing approaches often ignore the geometry of th…