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Jin-Wei Li

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#machine learning Preprint Sep 2026

Hybrid Methods for Robust Tabular Data Imputation

Missing data are a fundamental challenge in statistical analysis and machine learning, as the choice of imputation method substantially impacts downstream inference. In this work, we propose two hybrid imputation methods called NuclearForest and SoftForest, which combine nuclear-norm-based low-rank initialization using...

Jin-Wei Li, Michelle Bruch, Daniel Tenbrinck · 0 citations