Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport

François-Pierre Paty, Alexandre d'Aspremont, Marco Cuturi. Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport. In Silvia Chiappa, Roberto Calandra, editors, The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]. Volume 108 of Proceedings of Machine Learning Research, pages 1222-1232, PMLR, 2020. [doi]

Abstract

Abstract is missing.