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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)

Paper ID
5846
Venue
SIGMOD
Year
2020
Pagerank
6.8839621e-05
Overall Rank
4,130 | 71.67%
DOI
10.1145/3318464.3380571

Incoming Non-self Citations Over Time

Authors

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}
}

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