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]

@inproceedings{PatydC20,
  title = {Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport},
  author = {François-Pierre Paty and Alexandre d'Aspremont and Marco Cuturi},
  year = {2020},
  url = {http://proceedings.mlr.press/v108/paty20a.html},
  researchr = {https://researchr.org/publication/PatydC20},
  cites = {0},
  citedby = {0},
  pages = {1222-1232},
  booktitle = {The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]},
  editor = {Silvia Chiappa and Roberto Calandra},
  volume = {108},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}