Suna: Scalable Causal Confounder Discovery over Relational Data
Summary: Suna: a GPU-optimized system that scalably discovers admissible confounder sets from relational repositories by exploiting cause–effect asymmetry to find unconfounded ancestors of treatments without a full causal diagram. Iterative, join-free algorithm achieves >100× speedups. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Jiaxiang Liu
- 2. Siyuan Xia
- 3. Daniel Alabi
- 4. Eugene Wu
Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 31 | Provenance Semirings | 2007 | PODS | 0.0007857786 |
| 1,187 | JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes | 2019 | SIGMOD | 0.00013443639 |
| 1,449 | Causal Relational Learning | 2020 | SIGMOD | 0.0001193267 |
| 1,463 | ARDA: Automatic Relational Data Augmentation for Machine Learning | 2020 | VLDB | 0.00011869295 |
| 2,810 | Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) | 2018 | SIGMOD | 8.0810163e-05 |
| 4,859 | Integrating Data Lake Tables | 2023 | VLDB | 5.8732433e-05 |
| 6,077 | The Fast and the Private: Task-based Dataset Search | 2024 | CIDR | 5.2229324e-05 |
| 6,449 | Causal Data Integration | 2023 | VLDB | 5.0587746e-05 |
| 7,172 | Summarized Causal Explanations For Aggregate Views | 2024 | SIGMOD | 4.8114797e-05 |
| 7,491 | Saibot: A Differentially Private Data Search Platform | 2023 | VLDB | 4.7180617e-05 |
| 8,618 | Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data | 2024 | SIGMOD | 4.4838259e-05 |
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