Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation
Summary: Introduces Shades-of-Null, an evaluation suite modeling multi-mechanism missingness and train–test missingness shift beyond MCAR/MAR/MNAR. Evaluates imputers across quality, predictive performance, fairness, and stability, exposing scenario-dependent trade-offs in 29,736 pipelines. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Falaah Arif Khan (New York University)
- 2. Denys Herasymuk (Ukrainian Catholic University)
- 3. Nazar Protsiv (Ukrainian Catholic University)
- 4. Julia Stoyanovich (New York University)
BibTeX Citation
@article{khan_vldb25,
title = {{Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation}},
author = {Khan, Falaah Arif and Herasymuk, Denys and Protsiv, Nazar and Stoyanovich, Julia},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {9},
pages = {2899--2913},
doi = {10.14778/3746405.3746416},
url = {https://doi.org/10.14778/3746405.3746416},
year = {2025}
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 582 | ActiveClean: Interactive Data Cleaning For Statistical Modeling | 2016 | VLDB | 0.00016148948 |
| 1,340 | Responsible Data Management | 2020 | VLDB | 0.00011111667 |
| 2,147 | Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions | 2021 | VLDB | 9.0831495e-05 |
| 3,386 | Efficient and Effective Data Imputation with Influence Functions | 2022 | VLDB | 7.453827e-05 |
| 6,642 | Missing Data Imputation with Uncertainty-Driven Network | 2024 | SIGMOD | 5.8157857e-05 |
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