Joint Distribution Optimal Transportation for Domain Adaptation

@inproceedings{Courty2017JointDO,
  title={Joint Distribution Optimal Transportation for Domain Adaptation},
  author={Nicolas Courty and R{\'e}mi Flamary and Amaury Habrard and Alain Rakotomamonjy},
  booktitle={NIPS},
  year={2017}
}
This paper deals with the unsupervised domain adaptation problem, where one wants to estimate a prediction function f in a given target domain without any labeled sample by exploiting the knowledge available from a source domain where labels are known. Our work makes the following assumption: there exists a non-linear transformation between the joint feature/label space distributions of the two domain Ps and Pt. We propose a solution of this problem with optimal transport, that allows to… CONTINUE READING
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