Sample Selection Bias Correction Theory

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Sample Selection Bias as a Specification Error

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Statistical learning theory

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The foundations of cost-sensitive learning

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Stability and generalization

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On the influence of the kernel on the consistency of support vector machines

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Cost-sensitive learning by cost-proportionate example weighting

Original

Zadrozny et al.][2003]zadrozny2 Zadrozny, B., Langford, J., & Abe, N. (2003) · 2003

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Learning and evaluating classifiers under sample selection bias

Zadrozny][2004]zadrozny Zadrozny, B. (2004) · 2004

Correcting sample selection bias in maximum entropy density estimation

Dudík et al.][2006]dudik Dudík, M., Schapire, R. E., & Phillips, S. J. (2006) · 2005

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An improved categorization of classifier’s sensitivity on sample selection bias

Fan et al.][2005]zadrozny3 Fan, W., Davidson, I., Zadrozny, B., & Yu, P. S. (2005) · 2005

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Correcting Sample Selection Bias by Unlabeled Data

Huang et al.][2006a]huang-report06 Huang, J., Smola, A., Gretton, A., Borgwardt, K., & Schölkopf, B. (2006a) · 2006

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Correcting sample selection bias by unlabeled data

Huang et al.][2006b]huang-nips06 Huang, J., Smola, A. J., Gretton, A., Borgwardt, K. M., & Schölkopf, B. (2006b) · 2006

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Discriminative learning for differing training and test distributions

Bickel et al.][2007]bickel-icml07 Bickel, S., Brückner, M., & Scheffer, T. (2007) · 2007

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