PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models
Summary: PrIU and PrIU-opt use data provenance to incrementally update regression models, avoiding full retraining. Correctness and convergence are proven, with experiments showing up to 100x speedups while preserving accuracy. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yinjun Wu (University of Pennsylvania)
- 2. Val Tannen (University of Pennsylvania)
- 3. Susan B. Davidson (University of Pennsylvania)
BibTeX Citation
@inproceedings{wu_sigmod20,
title = {{PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models}},
author = {Wu, Yinjun and Tannen, Val and Davidson, Susan B.},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3380571},
url = {https://dl.acm.org/doi/10.1145/3318464.3380571},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,941 | Interpretable Data-Based Explanations for Fairness Debugging | 2022 | SIGMOD | 9.3297671e-05 |
| 5,178 | Explainable AI: Foundations, Applications, Opportunities for Data Management Research | 2022 | SIGMOD | 6.2411759e-05 |
| 7,212 | Capturing and Querying Fine-grained Provenance of Preprocessing Pipelines in Data Science | 2021 | VLDB | 5.5840773e-05 |
| 7,876 | CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties | 2021 | VLDB | 5.4348457e-05 |
| 8,076 | Provenance-Enabled Explainable AI | 2024 | SIGMOD | 5.3942942e-05 |
| 9,019 | Complaint-Driven Training Data Debugging at Interactive Speeds | 2022 | SIGMOD | 5.2364886e-05 |
| 9,117 | Modyn: Data-Centric Machine Learning Pipeline Orchestration | 2025 | SIGMOD | 5.2263399e-05 |
| 10,688 | Stress-Testing Causal Claims via Cardinality Repairs | 2026 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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