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author | Rémi Flamary <remi.flamary@gmail.com> | 2020-04-20 12:41:42 +0200 |
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committer | GitHub <noreply@github.com> | 2020-04-20 12:41:42 +0200 |
commit | df293135613fba35d525b27751f847abbef64f88 (patch) | |
tree | cb903103c8b58d3bc76ee3178bfc63596c3542cc /README.md | |
parent | adc5570550676b63b9aabb2205a67c5b7c9187f3 (diff) | |
parent | de5679ad6e284c7d8751bcef05d4be5fd79d0aec (diff) |
Merge pull request #141 from lchapel/partial-W-and-GW
[MRG] partial Wass and GW
Diffstat (limited to 'README.md')
-rw-r--r-- | README.md | 7 |
1 files changed, 6 insertions, 1 deletions
@@ -30,6 +30,7 @@ It provides the following solvers: * Unbalanced OT with KL relaxation distance and barycenter [10, 25]. * Screening Sinkhorn Algorithm for OT [26]. * JCPOT algorithm for multi-source domain adaptation with target shift [27]. +* Partial Wasserstein and Gromov-Wasserstein (exact [29] and entropic [3] formulations). Some demonstrations (both in Python and Jupyter Notebook format) are available in the examples folder. @@ -259,4 +260,8 @@ You can also post bug reports and feature requests in Github issues. Make sure t [26] Alaya M. Z., Bérar M., Gasso G., Rakotomamonjy A. (2019). [Screening Sinkhorn Algorithm for Regularized Optimal Transport](https://papers.nips.cc/paper/9386-screening-sinkhorn-algorithm-for-regularized-optimal-transport), Advances in Neural Information Processing Systems 33 (NeurIPS). -[27] Redko I., Courty N., Flamary R., Tuia D. (2019). [Optimal Transport for Multi-source Domain Adaptation under Target Shift](http://proceedings.mlr.press/v89/redko19a.html), Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics (AISTATS) 22, 2019.
\ No newline at end of file +[27] Redko I., Courty N., Flamary R., Tuia D. (2019). [Optimal Transport for Multi-source Domain Adaptation under Target Shift](http://proceedings.mlr.press/v89/redko19a.html), Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics (AISTATS) 22, 2019. + +[28] Caffarelli, L. A., McCann, R. J. (2020). [Free boundaries in optimal transport and Monge-Ampere obstacle problems](http://www.math.toronto.edu/~mccann/papers/annals2010.pdf), Annals of mathematics, 673-730. + +[29] Chapel, L., Alaya, M., Gasso, G. (2019). [Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning](https://arxiv.org/abs/2002.08276), arXiv preprint arXiv:2002.08276.
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