Barycenters in the wasserstein space, SIAM J Math Analysis, vol.43, issue.2, pp.904-924, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00637399
Wasserstein generative adversarial networks, In: ICML, vol.70, pp.214-223, 2017. ,
Analysis of representations for domain adaptation, NIPS, pp.137-144, 2007. ,
A theory of learning from different domains, Machine Learning, vol.79, pp.151-175, 2010. ,
Impossibility theorems for domain adaptation, In: AISTATS, vol.9, pp.129-136, 2010. ,
Minimax convergence rate for estimating the Wasserstein barycenter of random measures on the real line, 2017. ,
Data-driven regularization of Wasserstein barycenters with an application to multivariate density registration, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01790015
Penalization of barycenters in the Wasserstein space, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01564007
Distribution's template estimate with wasserstein metrics, Bernoulli, vol.21, issue.2, pp.740-759, 2008. ,
Unbalanced Optimal Transport: Geometry and Kantorovich Formulation, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01271981
Domain adaptation and sample bias correction theory and algorithm for regression, Theoretical Computer Science, vol.519, pp.103-126, 2014. ,
Learning from multiple sources, Journal of Machine Learning Research, vol.9, pp.1757-1774, 2008. ,
Sinkhorn distances: Lightspeed computation of optimal transport, NIPS, pp.2292-2300, 2013. ,
Fast computation of wasserstein barycenters, ICML, pp.685-693, 2014. ,
Uniqueness and approximate computation of optimal incomplete transportation plans, Ann Inst H Poincaré Probab Statist, vol.47, issue.2, pp.358-375, 2011. ,
On the rate of convergence in Wasserstein distance of the empirical measure, Probability Theory and Related Fields, vol.162, p.707, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-00915365
Learning with a wasserstein loss, NIPS, pp.2053-2061, 2015. ,
Learning generative models with sinkhorn divergences, pp.1608-1617, 2018. ,
A pac-bayesian approach for domain adaptation with specialization to linear classifiers, ICML, pp.738-746, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00822685
Generative adversarial nets, NIPS, pp.2672-2680, 2014. ,
Existence and Consistency of Wasserstein Barycenters. Probability Theory and Related Fields, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01163262
Domain adaptation: Learning bounds and algorithms, 2009. ,
Multiple source adaptation and the Rényi divergence, pp.367-374, 2009. ,
A literature review on domain adaptation with unlabeled data, 2011. ,
Mémoire sur la théorie des déblais et des remblais, Histoire de l'Académie Royale des Sciences, pp.666-704, 1781. ,
A survey on transfer learning, IEEE Transactions on Knowledge and Data Engineering, vol.22, issue.10, pp.1345-1359, 2010. ,
Theoretical analysis of domain adaptation with optimal transport, ECML/PKDD, pp.737-753, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01613564
The earth mover's distance as a metric for image retrieval, Int J Comput Vision, vol.40, issue.2, pp.99-121, 2000. ,
Concerning nonnegative matrices and doubly stochastic matrices, Pacific J Math, vol.21, pp.343-348, 1967. ,
A hilbert space embedding for distributions, pp.13-31, 2007. ,
Generalization bounds for domain adaptation, NIPS, pp.3320-3328, 2012. ,
Functional density synchronization, Computational Statistics & Data Analysis, vol.55, issue.7, pp.2234-2249, 2011. ,
Probability metrics, Theory of Probability & Its Applications, vol.28, pp.278-302, 1984. ,