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authorRémi Flamary <remi.flamary@gmail.com>2018-03-21 11:03:06 +0100
committerRémi Flamary <remi.flamary@gmail.com>2018-03-21 11:03:06 +0100
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@@ -13,14 +13,14 @@ This open source Python library provide several solvers for optimization problem
It provides the following solvers:
-* OT solver for the linear program/ Earth Movers Distance [1].
+* OT Network Flow solver for the linear program/ Earth Movers Distance [1].
* Entropic regularization OT solver with Sinkhorn Knopp Algorithm [2] and stabilized version [9][10] with optional GPU implementation (required cudamat).
* Bregman projections for Wasserstein barycenter [3] and unmixing [4].
* Optimal transport for domain adaptation with group lasso regularization [5]
* Conditional gradient [6] and Generalized conditional gradient for regularized OT [7].
-* Joint OT matrix and mapping estimation [8].
+* Linear OT [14] and Joint OT matrix and mapping estimation [8].
* Wasserstein Discriminant Analysis [11] (requires autograd + pymanopt).
-* Gromov-Wasserstein distances and barycenters [12]
+* Gromov-Wasserstein distances and barycenters ([13] and regularized [12])
Some demonstrations (both in Python and Jupyter Notebook format) are available in the examples folder.