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Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization.

, , , , , and . CVPR, page 505-514. Computer Vision Foundation / IEEE, (2021)

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Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization., , , , , and . CVPR, page 505-514. Computer Vision Foundation / IEEE, (2021)An Improved Central Limit Theorem and Fast Convergence Rates for Entropic Transportation Costs., , , and . SIAM J. Math. Data Sci., 5 (3): 639-669 (September 2023)An improved central limit theorem and fast convergence rates for entropic transportation costs., , , and . CoRR, (2022)Gaussian Processes on Distributions based on Regularized Optimal Transport., , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 4986-5010. PMLR, (2023)Achieving robustness in classification using optimal transport with hinge regularization., , , , , and . CoRR, (2020)The Many Faces of 1-Lipschitz Neural Networks., , , and . CoRR, (2021)Diffeomorphic Registration Using Sinkhorn Divergences., , and . SIAM J. Imaging Sci., 16 (1): 250-279 (March 2023)GAN Estimation of Lipschitz Optimal Transport Maps., , , and . CoRR, (2022)On the nonconvexity of some push-forward constraints and its consequences in machine learning., , , and . CoRR, (2024)Pay attention to your loss : understanding misconceptions about Lipschitz neural networks., , , , , and . NeurIPS, (2022)