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authorLaetitia Chapel <laetitia.chapel@univ-ubs.fr>2020-04-09 13:55:27 +0200
committerLaetitia Chapel <laetitia.chapel@univ-ubs.fr>2020-04-09 13:55:27 +0200
commit9f63ee92e281427ab3d520f75bb9c3406b547365 (patch)
treecb77965b141a53b89fd6557f84c72fbea7518d88 /docs
parent81e9d425b905b1b7fc0ee888556e60c692d9bb18 (diff)
initial commit partial Wass and GW
Diffstat (limited to 'docs')
-rw-r--r--docs/source/all.rst6
-rw-r--r--docs/source/readme.rst8
2 files changed, 14 insertions, 0 deletions
diff --git a/docs/source/all.rst b/docs/source/all.rst
index c968aa1..a6d9790 100644
--- a/docs/source/all.rst
+++ b/docs/source/all.rst
@@ -86,3 +86,9 @@ ot.unbalanced
.. automodule:: ot.unbalanced
:members:
+
+ot.partial
+-------------
+
+.. automodule:: ot.partial
+ :members:
diff --git a/docs/source/readme.rst b/docs/source/readme.rst
index 0871779..d5f2161 100644
--- a/docs/source/readme.rst
+++ b/docs/source/readme.rst
@@ -391,6 +391,14 @@ of the 36th International Conference on Machine Learning (ICML).
`Learning with a Wasserstein Loss <http://cbcl.mit.edu/wasserstein/>`__
Advances in Neural Information Processing Systems (NIPS).
+[26] 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.
+
+[27] 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.
+
.. |PyPI version| image:: https://badge.fury.io/py/POT.svg
:target: https://badge.fury.io/py/POT
.. |Anaconda Cloud| image:: https://anaconda.org/conda-forge/pot/badges/version.svg