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author | Rémi Flamary <remi.flamary@gmail.com> | 2018-09-24 10:35:27 +0200 |
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committer | Rémi Flamary <remi.flamary@gmail.com> | 2018-09-24 10:35:27 +0200 |
commit | 8f908bd3096d9bc57a05b3de1c37b97805a10959 (patch) | |
tree | 48e7a9ed11c898d8e63939351e98afa027c81779 /README.md | |
parent | dee6d6e16f6e5d328bc590089cf99ef586d7ca0f (diff) |
update readme+doc
Diffstat (limited to 'README.md')
-rw-r--r-- | README.md | 4 |
1 files changed, 2 insertions, 2 deletions
@@ -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]. |