Covariate Shift Adaptation by Importance Weighted Cross Validation.¶
Sugiyama, M., Krauledat, M., & Müller, K. (2007). Covariate Shift Adaptation by Importance Weighted Cross Validation. Journal of Machine Learning Research, 8, 985-1005.
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1 citation across 1 artifact.
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Primes¶
- Training Serving Skew
- … preparation toward deployment; restrict serving to the region where $P_{\text{train}}$ had support to move deployment toward preparation; monitor a population-stability or distribution-distance statistic and retrain when it crosses a threshold; or train with regularisation and augmentation for robustness to the gap.
This sourceDevelops importance-weighting by the train/serve density ratio as the remedy for covariate shift.
- … preparation toward deployment; restrict serving to the region where $P_{\text{train}}$ had support to move deployment toward preparation; monitor a population-stability or distribution-distance statistic and retrain when it crosses a threshold; or train with regularisation and augmentation for robustness to the gap.
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