partial with readme updated

2 files changed, 9 insertions, 7 deletions

diff --git a/README.md b/README.md
index b6baf14..fecaa35 100644
--- a/README.md
+++ b/README.md
@@ -259,4 +259,6 @@ 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] 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.
\ No newline at end of file
diff --git a/ot/partial.py b/ot/partial.py
index 726a590..d32e054 100755
--- a/ot/partial.py
+++ b/ot/partial.py
@@ -209,7 +209,7 @@ def partial_wasserstein(a, b, M, m=None, nb_dummies=1, log=False, **kwargs):
     ..  [26] Caffarelli, L. A., & McCann, R. J. (2010) Free boundaries in
         optimal transport and Monge-Ampere obstacle problems. Annals of
         mathematics, 673-730.
-    ..  [27] Chapel, L., Alaya, M., Gasso, G. (2019). "Partial Gromov-
+    ..  [28] Chapel, L., Alaya, M., Gasso, G. (2019). "Partial Gromov-
         Wasserstein with Applications on Positive-Unlabeled Learning".
         arXiv preprint arXiv:2002.08276.
 
@@ -314,7 +314,7 @@ def partial_wasserstein2(a, b, M, m=None, nb_dummies=1, log=False, **kwargs):
     ..  [26] Caffarelli, L. A., & McCann, R. J. (2010) Free boundaries in
         optimal transport and Monge-Ampere obstacle problems. Annals of
         mathematics, 673-730.
-    ..  [27] Chapel, L., Alaya, M., Gasso, G. (2019). "Partial Gromov-
+    ..  [28] Chapel, L., Alaya, M., Gasso, G. (2019). "Partial Gromov-
         Wasserstein with Applications on Positive-Unlabeled Learning".
         arXiv preprint arXiv:2002.08276.
     """
@@ -411,7 +411,7 @@ def partial_gromov_wasserstein(C1, C2, p, q, m=None, nb_dummies=1, G0=None,
     - a and b are the sample weights
     - m is the amount of mass to be transported
 
-    The formulation of the problem has been proposed in [27]_
+    The formulation of the problem has been proposed in [28]_
 
 
     Parameters
@@ -477,7 +477,7 @@ def partial_gromov_wasserstein(C1, C2, p, q, m=None, nb_dummies=1, G0=None,
 
     References
     ----------
-    ..  [27] Chapel, L., Alaya, M., Gasso, G. (2019). "Partial Gromov-
+    ..  [28] Chapel, L., Alaya, M., Gasso, G. (2019). "Partial Gromov-
         Wasserstein with Applications on Positive-Unlabeled Learning".
         arXiv preprint arXiv:2002.08276.
 
@@ -570,7 +570,7 @@ def partial_gromov_wasserstein2(C1, C2, p, q, m=None, nb_dummies=1, G0=None,
     - a and b are the sample weights
     - m is the amount of mass to be transported
 
-    The formulation of the problem has been proposed in [27]_
+    The formulation of the problem has been proposed in [28]_
 
 
     Parameters
@@ -627,7 +627,7 @@ def partial_gromov_wasserstein2(C1, C2, p, q, m=None, nb_dummies=1, G0=None,
 
     References
     ----------
-    ..  [27] Chapel, L., Alaya, M., Gasso, G. (2019). "Partial Gromov-
+    ..  [28] Chapel, L., Alaya, M., Gasso, G. (2019). "Partial Gromov-
         Wasserstein with Applications on Positive-Unlabeled Learning".
         arXiv preprint arXiv:2002.08276.