PAC Learning Guarantees Under Covariate Shift

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Bickel, S., Brückner, M., Scheffer, T.: Discriminative learning under covariate shift. Journal of Machine Learning Research 10

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Tsuboi, Y., Kashima, H., Hido, S., Bickel, S., Sugiyama, M.: Direct density ratio estimation for large-scale covariate shift adaptation. JIP 17

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Cortes, C., Mohri, M.: Domain adaptation in regression. In: Algorithmic Learning Theory - 22nd International Conference, ALT 2011, Espoo, Finland, October 5-7, 2011. Proceedings. pp. 308–323 (2011)

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Ben-David, S., Urner, R.: On the hardness of domain adaptation and the utility of unlabeled target samples. In: Algorithmic Learning Theory - 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012. Proceedings. pp. 139–153 (2012)

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Mohri, M., Medina, A.M.: New analysis and algorithm for learning with drifting distributions. In: Algorithmic Learning Theory - 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012. Proceedings. pp. 124–138 (2012)

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Germain, P., Habrard, A., Laviolette, F., Morvant, E.: A pac-bayesian approach for domain adaptation with specialization to linear classifiers. In: Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013. pp. 738–746 (2013),