Database Paper Browser

Back to papers

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
5785
Venue
SIGMOD
Year
2020
Pagerank
6.1925724e-05
Overall Rank
4,423 | 69.27%
DOI
10.1145/3318464.3380571

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers

Overall Rank Paper Year Venue Pagerank
2,182 Querying Data Provenance 2010 SIGMOD 9.3596252e-05
6,187 On Provenance Minimization 2011 PODS 5.1611195e-05
2,529 Provenance Management in Curated Databases 2006 SIGMOD 8.5944731e-05
4,380 Incremental Record Linkage 2014 VLDB 6.2325868e-05
11,474 On Optimizing the Trade-off between Privacy and Utility in Data Provenance 2021 SIGMOD 4.1905499e-05
6,860 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 4.9008421e-05
8,392 Hypothetical Reasoning via Provenance Abstraction 2019 SIGMOD 4.5234647e-05
6,916 Private Incremental Regression 2017 PODS 4.8878659e-05
7,481 Provenance-Enabled Explainable AI 2024 SIGMOD 4.7135369e-05
8,166 Capturing and Querying Fine-grained Provenance of Preprocessing Pipelines in Data Science 2021 VLDB 4.567959e-05