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author | ievred <ievgen.redko@univ-st-etienne.fr> | 2020-04-20 12:57:33 +0200 |
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committer | ievred <ievgen.redko@univ-st-etienne.fr> | 2020-04-20 12:57:33 +0200 |
commit | 6da7586f0f08ca07a380d23ea96281e1511d333c (patch) | |
tree | f2a8f7de1dacd6fee11340e962257bd47cd47d0d /README.md | |
parent | 5eedfcf89171163c2bc60cf51c438b34fc514caf (diff) |
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@@ -261,7 +261,3 @@ A. Rakotomamonjy, [Optimal Transport for Domain Adaptation](https: // arxiv.org [26] Alaya M. Z., BĂ©rar 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. - -[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. |