Suna: Scalable Causal Confounder Discovery over Relational Data
Summary: Suna exploits cause–effect asymmetry to iteratively discover admissible confounders via unconfounded treatment ancestors, without a repository-wide causal DAG. Its GPU-compatible, join-free system scales to large relational repositories and runs over 100× faster than prior methods. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Jiaxiang Liu (Columbia University)
- 2. Siyuan Xia (University of Chicago)
- 3. Daniel Alabi (University of Illinois Urbana-Champaign)
- 4. Eugene Wu (Columbia University)
BibTeX Citation
@article{liu_vldb25,
title = {{Suna: Scalable Causal Confounder Discovery over Relational Data}},
author = {Liu, Jiaxiang and Xia, Siyuan and Alabi, Daniel and Wu, Eugene},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {4158--4170},
doi = {10.14778/3749646.3749684},
url = {https://doi.org/10.14778/3749646.3749684},
year = {2025}
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 17 | Provenance Semirings | 2007 | PODS | 0.00059843817 |
| 779 | JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes | 2019 | SIGMOD | 0.00014092047 |
| 1,121 | ARDA: Automatic Relational Data Augmentation for Machine Learning | 2020 | VLDB | 0.00012093059 |
| 2,374 | Causal Relational Learning | 2020 | SIGMOD | 8.6755064e-05 |
| 2,546 | Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) | 2018 | SIGMOD | 8.4340413e-05 |
| 4,123 | Integrating Data Lake Tables | 2023 | VLDB | 6.8878137e-05 |
| 6,054 | Causal Data Integration | 2023 | VLDB | 5.9932261e-05 |
| 6,094 | The Fast and the Private: Task-based Dataset Search | 2024 | CIDR | 5.9786215e-05 |
| 6,932 | Summarized Causal Explanations For Aggregate Views | 2024 | SIGMOD | 5.7362362e-05 |
| 7,914 | Saibot: A Differentially Private Data Search Platform | 2023 | VLDB | 5.5181056e-05 |
| 8,658 | Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data | 2024 | SIGMOD | 5.3904679e-05 |
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