Fetching the paper…
Reading the bibliography…
Faced with distribution shift between training and test set, we wish to detect and quantify the shift, and to correct our classifiers without test set labels.
Comparison of a screening test and a reference test in epidemiologic studies. ii. a probabilistic model for the comparison of diagnostic tests
Buck, A., Gart, J., et al. (1966) · 1966
Earlier work this paper cites.
Sample selection bias as a specification error (with an application to the estimation of labor supply functions)
Heckman, J. J. (1977) · 1977
Earlier work this paper cites.
The estimation of choice probabilities from choice based samples
Manski, C. F., & Lerman, S. R. (1977) · 1977
Earlier work this paper cites.
The central role of the propensity score in observational studies for causal effects
Rosenbaum, P. R., & Rubin, D. B. (1983) · 1983
Earlier work this paper cites.
Neural networks for pattern recognition
Bishop, C. M. (1995) · 1995
Earlier work this paper cites.
Improving predictive inference under covariate shift by weighting the log-likelihood function
Shimodaira, H. (2000) · 2000
Earlier work this paper cites.
The foundations of cost-sensitive learning
Elkan, C. (2001) · 2001
Earlier work this paper cites.
Adjusting the outputs of a classifier to new a priori probabilities: a simple procedure
Saerens, M., Latinne, P., & Decaestecker, C. (2002) · 2002
Earlier work this paper cites.
Learning and evaluating classifiers under sample selection bias
Zadrozny, B. (2004) · 2004
Cited alongside, same era.
Word sense disambiguation with distribution estimation
Chan, Y. S., & Ng, H. T. (2005) · 2005
Cited alongside, same era.
Correcting sample selection bias by unlabeled data
Huang, J., Gretton, A., Borgwardt, K. M., Schölkopf, B., & Smola, A. J. (2007) · 2007
Cited alongside, same era.
Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data
Kang, J. D., & Schafer, J. L. (2007) · 2007
Cited alongside, same era.
Quantifying counts and costs via classification
Forman, G. (2008) · 2008
Cited alongside, same era.
Direct importance estimation with model selection and its application to covariate shift adaptation
Sugiyama, M., Nakajima, S., Kashima, H., Buenau, P. V., & Kawanabe, M. (2008) · 2008
Covariate shift by kernel mean matching
Gretton, A., Smola, A. J., Huang, J., Schmittfull, M., Borgwardt, K. M., & Schölkopf, B. (2009) · 2009
Later among the works it cites.
When training and test sets are different: characterizing learning transfer
Storkey, A. (2009) · 2009
Later among the works it cites.
Cognitive models of test-item effects in human category learning
Zhu, X., Gibson, B. R., Jun, K.-S., Rogers, T. T., Harrison, J., & Kalish, C. (2010) · 2010
Later among the works it cites.
A kernel two-sample test
Gretton, A., Borgwardt, K. M., Rasch, M. J., Schölkopf, B., & Smola, A. (2012) · 2012
Later among the works it cites.
On causal and anticausal learning
Schölkopf, B., Janzing, D., Peters, J., Sgouritsa, E., Zhang, K., & Mooij, J. (2012) · 2012
Later among the works it cites.
B-test: A non-parametric, low variance kernel two-sample test
Zaremba, W., Gretton, A., & Blaschko, M. (2013) · 2013
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Discriminative learning under covariate shift
Bickel, S., Brückner, M., & Scheffer, T. (2009) · 2009
Cited alongside, same era.
Imagenet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009) · 2009
Cited alongside, same era.
Domain adaptation under target and conditional shift
Zhang, K., Schölkopf, B., Muandet, K., & Wang, Z. (2013) · 2013
Later among the works it cites.
On the decreasing power of kernel and distance based nonparametric hypothesis tests in high dimensions
Ramdas, A., Reddi, S. J., Póczos, B., Singh, A., & Wasserman, L. A. (2015) · 2015
Later among the works it cites.