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Learning with minibatch Wasserstein : asymptotic and gradient properties.

, , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2131-2141. PMLR, (2020)

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Optimal Transport for structured data with application on graphs., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6275-6284. PMLR, (2019)An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images., , , and . CoRR, (2018)Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise., , , , , and . CoRR, (2019)Sliced Gromov-Wasserstein., , , , and . NeurIPS, page 14726-14736. (2019)Template based Graph Neural Network with Optimal Transport Distances., , , , and . NeurIPS, (2022)Unbalanced minibatch Optimal Transport; applications to Domain Adaptation., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 3186-3197. PMLR, (2021)Large Scale Optimal Transport and Mapping Estimation., , , , , and . ICLR (Poster), OpenReview.net, (2018)Multi-source domain adaptation via weighted joint distributions optimal transport., , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 1970-1980. PMLR, (2022)Unbalanced Optimal Transport through Non-negative Penalized Linear Regression., , , , and . NeurIPS, page 23270-23282. (2021)Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers., , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 5196-5211. PMLR, (2022)