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Co-clustering through Optimal Transport.

, , , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 1955-1964. PMLR, (2017)

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Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond., , and . CoRR, (2020)POT: Python Optimal Transport., , , , , , , , , and 12 other author(s). J. Mach. Learn. Res., (2021)Feature Selection for Unsupervised Domain Adaptation Using Optimal Transport., , and . ECML/PKDD (2), volume 11052 of Lecture Notes in Computer Science, page 759-776. Springer, (2018)Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias., , and . CoRR, (2023)Non-negative embedding for fully unsupervised domain adaptation., and . Pattern Recognit. Lett., (2016)Unbalanced CO-optimal Transport., , , , , , and . AAAI, page 10006-10016. AAAI Press, (2023)Random subspaces NMF for unsupervised transfer learning., and . IJCNN, page 3901-3908. IEEE, (2014)Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms., , , , and . CoRR, (2020)Margin-aware Adversarial Domain Adaptation with Optimal Transport., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 2514-2524. PMLR, (2020)Why do State-of-the-art Super-Resolution Methods not work well for Bone Microstructure CT Imaging?, , , , and . EUSIPCO, page 1283-1287. IEEE, (2022)