Unbalanced Optimal Transport through Non-negative Penalized Linear Regression

Neural Information Processing Systems 

This paper addresses the problem of Unbalanced Optimal Transport (UOT) in which the marginal conditions are relaxed (using weighted penalties in lieu of equality) and no additional regularization is enforced on the OT plan.