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When Does Task-Aware Imputation Matter? An Analysis of Robustness Under Train-Test Mismatch
Missing data is a pervasive challenge in machine learning, often degrading predictive performance and complicating model deployment. Most existing approaches treat imputation as a preprocessing step independent of the downstream task, a separation that becomes problematic under train-test mismatches
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