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authorRémi Flamary <remi.flamary@gmail.com>2018-09-24 10:35:27 +0200
committerRémi Flamary <remi.flamary@gmail.com>2018-09-24 10:35:27 +0200
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@@ -14,10 +14,10 @@ This open source Python library provide several solvers for optimization problem
It provides the following solvers:
* 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] and greedy SInkhorn [21] with optional GPU implementation (requires cudamat).
+* Entropic regularization OT solver with Sinkhorn Knopp Algorithm [2] and stabilized version [9][10] and greedy SInkhorn [22] with optional GPU implementation (requires cudamat).
* Smooth optimal transport solvers (dual and semi-dual) for KL and squared L2 regularizations [17].
* Non regularized Wasserstein barycenters [16] with LP solver (only small scale).
-* Bregman projections for Wasserstein barycenter [3] and unmixing [4].
+* Bregman projections for Wasserstein barycenter [3], convolutional barycenter [21] and unmixing [4].
* Optimal transport for domain adaptation with group lasso regularization [5]
* Conditional gradient [6] and Generalized conditional gradient for regularized OT [7].
* Linear OT [14] and Joint OT matrix and mapping estimation [8].