Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation
Summary: Shades-of-Null models realistic socially‑salient missingness beyond MCAR/MAR/MNAR, including multi‑mechanism patterns and missingness shift. Holistic benchmarks across 29,736 pipelines expose trade‑offs between imputation quality, downstream accuracy, fairness and stability and show no universally best imputer; suite released. (summarized by gpt-5-mini on Feb 09 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 791 | ActiveClean: Interactive Data Cleaning For Statistical Modeling | 2016 | VLDB | 0.00016629664 |
| 1,404 | Responsible Data Management | 2020 | VLDB | 0.00012174977 |
| 2,302 | Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions | 2021 | VLDB | 9.0668832e-05 |
| 3,311 | Efficient and Effective Data Imputation with Influence Functions | 2022 | VLDB | 7.2406486e-05 |
| 6,600 | Missing Data Imputation with Uncertainty-Driven Network | 2024 | SIGMOD | 4.9972581e-05 |
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