number paper

Author: tvayer

ot/bregman/_empirical.py

@@ -839,7 +839,7 @@ def empirical_sinkhorn_nystroem(
     References
     ----------
 
-    .. [76] Massively scalable Sinkhorn distances via the Nyström method, Jason Altschuler, Francis Bach, Alessandro Rudi, Jonathan Niles-Weed, NeurIPS 2019.
+    .. [80] Massively scalable Sinkhorn distances via the Nyström method, Jason Altschuler, Francis Bach, Alessandro Rudi, Jonathan Niles-Weed, NeurIPS 2019.
 
     """
     nx = get_backend(X_s, X_t)
@@ -943,7 +943,7 @@ def empirical_sinkhorn_nystroem2(
     References
     ----------
 
-    .. [76] Massively scalable Sinkhorn distances via the Nyström method, Jason Altschuler, Francis Bach, Alessandro Rudi, Jonathan Niles-Weed, NeurIPS 2019.
+    .. [80] Massively scalable Sinkhorn distances via the Nyström method, Jason Altschuler, Francis Bach, Alessandro Rudi, Jonathan Niles-Weed, NeurIPS 2019.
 
 
     """

ot/solvers.py

@@ -1714,7 +1714,7 @@ def solve_sample(
         Low-rank Sinkhorn Factorization. In International Conference on
         Machine Learning.
 
-    .. [76] Altschuler, J., Bach, F., Rudi, A., Niles-Weed, J. (2019).
+    .. [80] Altschuler, J., Bach, F., Rudi, A., Niles-Weed, J. (2019).
         Massively scalable Sinkhorn distances via the Nyström method. NeurIPS.