Learning Generalized Linear Models Over Normalized Data
Summary: Factorized learning for gradient-descent GLMs over normalized data; pushes computations through joins to avoid I/O redundancy. Empirical results show factorized learning faster than join-then-learn, with a cost-based strategy; extends to multi-table joins and Hive. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Arun Kumar (University of Wisconsin)
- 2. Jeffrey Naughton (University of Wisconsin)
- 3. Jignesh M. Patel (University of Wisconsin)
BibTeX Citation
@inproceedings{kumar_sigmod15,
title = {{Learning Generalized Linear Models Over Normalized Data}},
author = {Kumar, Arun and Naughton, Jeffrey and Patel, Jignesh M.},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2723713},
url = {https://dl.acm.org/doi/10.1145/2723372.2723713},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 56 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,176 | Clustering with Set Outliers and Applications in Relational Clustering | 2026 | PODS | 5.093636e-05 |
| 10,466 | InferF: Declarative Factorization of AI/ML Inferences over Joins | 2026 | SIGMOD | 5.093636e-05 |
| 10,589 | Morphing-based Compression for Data-centric ML Pipelines | 2026 | VLDB | 5.093636e-05 |
| 11,144 | Improved Approximation Algorithms for Relational Clustering | 2024 | PODS | 5.093636e-05 |
| 11,481 | Demonstration of OpenDBML, a Framework for Democratizing In-Database Machine Learning | 2023 | VLDB | 5.093636e-05 |
| 11,871 | doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases | 2019 | VLDB | 5.093636e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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