Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra
Summary: Introduces nonlinear pairwise feature interactions in factorized linear algebra for cross-table ML. Presents rewrite framework to exploit join+interaction redundancy; MorpheusFI prototype shows up to 5x speedups over materialized and 10x over SGD. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Side Li (University of California San Diego)
- 2. Lingjiao Chen (University of Wisconsin)
- 3. Arun Kumar (University of California San Diego)
BibTeX Citation
@inproceedings{li_sigmod19,
title = {{Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra}},
author = {Li, Side and Chen, Lingjiao and Kumar, Arun},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3319878},
url = {https://dl.acm.org/doi/10.1145/3299869.3319878},
year = {2019}
}
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