
This paper introduces a doubly robust estimator for covariate shift adaptation in regression models, leveraging double machine learning techniques to enhance robustness against density-ratio estimation errors and achieve faster convergence rates.


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doubly-robust-covariate-shift-adaptation-for-regression-models


Doubly Robust Covariate Shift Adaptation for Regression Models


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An adaptive algorithm named Xenovert can dynamically partition a continuous input space into multiple uniform intervals, effectively mapping a source distribution to a shifted target distribution. This enables downstream machine learning models to adapt to drastic distribution shifts without retraining.


adaptive-algorithm-for-handling-drastic-shifts-in-input-distribution


Adaptive Algorithm for Handling Drastic Shifts in Input Distribution
