A theory of learning from different domains, Machine Learning, vol.79, pp.151-175, 2010. ,
Iterative bregman projections for regularized transportation problems, SIAM Journal on Scientific Computing, vol.37, issue.2, pp.1111-1138, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01096124
, Discriminative Learning for Differing Training and Test Distributions. Pages 81-88 of: ICML, 2007.
Semi-Supervised Novelty Detection, Journal of Machine Learning Research, vol.11, pp.2973-3009, 2010. ,
One-dimensional empirical measures, order statistics and Kantorovich transport distances, 2016. ,
Word Sense Disambiguation with Distribution Estimation, Pages 1010-1015 of: IJCAI, 2005. ,
Domain adaptation with regularized optimal transport, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01018698
Joint distribution optimal transportation for domain adaptation, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01620589
Optimal Transport for Domain Adaptation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.39, issue.9, pp.1853-1865, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01170705
Sinkhorn distances: Lightspeed computation of optimal transport, 2013. ,
Unsupervised Visual Domain Adaptation Using Subspace Alignment, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00869417
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
Unsupervised Domain Adaptation by Backpropagation, Pages 1180-1189 of: ICML, vol.37, 2015. ,
Correcting Sample Selection Bias by Unlabeled Data, In: NIPS, vol.19, 2007. ,
The Class Imbalance Problem: A Systematic Study, Pages 429-449 of: IDA, vol.6, 2002. ,
On the translocation of masses, Doklady of the Academy of Sciences of the USSR, vol.37, pp.199-201, 1942. ,
Support Vector Machines for Classification in Nonstandard Situations, Machine Learning, vol.46, pp.191-202, 2002. ,
Robust Classification Under Sample Selection Bias, 2014. ,
The estimation of choice probabilities from choice-based samples, Econometrica, vol.45, pp.1977-1988, 1977. ,
Domain Adaptation: Learning Bounds and Algorithms, 2009. ,
Domain adaptation with multiple sources, 2009. ,
Mémoire sur la théorie des déblais et des remblais, Histoire de l'Academie Royale des Sciences, pp.666-704, 1781. ,
Visual domain adaptation: a survey of recent advances, IEEE Signal Processing Magazine, vol.32, issue.3, pp.53-69, 2015. ,
Dataset Shift in Machine Learning, 2009. ,
Class Proportion Estimation with Application to Multiclass Anomaly Rejection, Pages 850-858 of: AISTATS, vol.33, 2014. ,
, Classification with Asymmetric Label Noise: Consistency and Maximal Denoising. Pages 489-511 of: COLT, vol.30, 2013.
When training and test sets are different: characterising learning transfer. Pages 3-28 of: In Dataset Shift in Machine Learning, 2009. ,
Multitemporal classification without new labels: a solution with optimal transport, 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01254329
, Decision Fusion With Multiple Spatial Supports by, 2018.
, Optimal Transport for Multi-source Domain Adaptation under Target Shift Conditional Random Fields, IEEE Transactions on Geoscience and Remote Sensing, pp.1-13
Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification, 2014. ,
A Framework for Modeling Positive Class Expansion with Single Snapshot, 2008. ,
CostSensitive Learning by Cost-Proportionate Example Weighting, 2003. ,
Domain Adaptation under Target and Conditional Shift, Pages 819-827 of: ICML, vol.28, 2013. ,
Multi-Source Domain Adaptation: A Causal View, 2015. ,