The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Correcting Sample Selection Bias by Unlabeled Data
Open accessAbstract
We consider the scenario where training and test data are drawn from\ndifferent distributions, commonly referred to as sample\nselection bias. Most algorithms for this setting try to first\nrecover sampling distributions and then make appropriate corrections based on the\ndistribution estimate. We present a nonparametric method which\ndirectly produces resampling weights without distribution estimation.\nOur method works by matching distributions between training and\ntesting sets in feature space. Experimental results demonstrate that our method works well in\npractice.
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Citations
Cites
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
Estimating the Support of a High-Dimensional Distribution
Schölkopf, B., Platt, J. C., Shawe-Taylor, J., Smola, A. J., & Williamson, R. C. (2001) · Neural Computation · doi:10.1162/089976601750264965 · Cited by 6,168
Self-citationLearning and evaluating classifiers under sample selection bias
Zadrozny, B. (2004) · Twenty-first international conference on Machine learning - ICML '04 · doi:10.1145/1015330.1015425 · Cited by 800
Cited by
Pan, S. J., & Yang, Q. (2010) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2009.191 · Cited by 23,387
Domain-Adversarial Training of Neural Networks
Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M., & Lempitsky, V. (2017) · Advances in Computer Vision and Pattern Recognition · doi:10.1007/978-3-319-58347-1_10 · Cited by 8,318
A Comprehensive Survey on Transfer Learning
Zhuang, F., Qi, Z., Duan, K., Xi, D., Zhu, Y., Zhu, H., Xiong, H., & He, Q. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2020.3004555 · Cited by 6,678
Weiss, K., Khoshgoftaar, T. M., & Wang, D. (2016) · Journal of Big Data · doi:10.1186/s40537-016-0043-6 · Cited by 6,260
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Sun, B., & Saenko, K. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-49409-8_35 · Cited by 3,757
Metadata
- Authors
- Huang, J., Smola, A. J., Gretton, A., Borgwardt, K. M., & Schölkopf, B.
- Venue
- Advances in Neural Information Processing Systems 19
- Publisher
- The MIT Press
- Published
- 2007-09-07
- Pages
- 601-608
- OpenAlex
- W2112483442
- Cited by
- 1,571
- References
- 3
- FWCI
- 49.78
- Type
- book chapter
- Language
- en
- Open access
- green
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- Huang, J., Smola, A. J., Gretton, A., Borgwardt, K. M., & Schölkopf, B. (2007). Correcting Sample Selection Bias by Unlabeled Data. Advances in Neural Information Processing Systems 19. https://doi.org/10.7551/mitpress/7503.003.0080
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