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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)

Paper ID
h8147e6157f598835
Venue
SIGMOD
Year
2019
Pagerank
8.8708356e-05
Overall Rank
2,201 | 85.21%
DOI
10.1145/3299869.3319878

Incoming Non-self Citations Over Time

Authors

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}
}

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Rank Citing Paper Year Venue Pagerank
950 Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics 2021 CIDR 0.00012889569
3,449 Robust and Transferable Log-based Anomaly Detection 2023 SIGMOD 7.2897426e-05
4,492 ARM-Net: Adaptive Relation Modeling Network for Structured Data 2021 SIGMOD 6.5749958e-05
4,975 SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra 2020 VLDB 6.3289021e-05
7,203 Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning 2023 VLDB 5.5845207e-05
8,806 Towards A Polyglot Framework for Factorized ML 2021 VLDB 5.2721353e-05
9,153 Cerebro: A Layered Data Platform for Scalable Deep Learning 2021 CIDR 5.217676e-05
9,222 Powering In-Database Dynamic Model Slicing for Structured Data Analytics 2024 VLDB 5.203586e-05
9,564 Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning 2021 VLDB 5.1547835e-05
9,883 MINT: Detecting Fraudulent Behaviors from Time-series Relational Data 2023 VLDB 5.115241e-05
10,613 TranSQL+: Serving Large Language Models with SQL on Low-Resource Hardware 2026 SIGMOD 4.9769913e-05
10,664 InferF: Declarative Factorization of AI/ML Inferences over Joins 2026 SIGMOD 4.9769913e-05
11,712 Regularized Pairwise Relationship based Analytics for Structured Data 2023 SIGMOD 4.9769913e-05
11,797 Demonstration of OpenDBML, a Framework for Democratizing In-Database Machine Learning 2023 VLDB 4.9769913e-05
11,876 Givens QR Decomposition over Relational Databases 2022 SIGMOD 4.9769913e-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.

Rank Cited Paper Year Venue Pagerank
416 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.00018650998
521 Learning Linear Regression Models over Factorized Joins 2016 SIGMOD 0.00016923519
673 The TileDB Array Data Storage Manager 2017 VLDB 0.00014891415
731 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00014400356
779 To Join or Not to Join? Thinking Twice about Joins before Feature Selection 2016 SIGMOD 0.00014048128
851 Scaling Factorization Machines to Relational Data 2013 VLDB 0.00013453278
1,009 Simulation of Database-Valued Markov Chains Using SimSQL 2013 SIGMOD 0.0001253551
1,045 RIOT: I/O-Efficient Numerical Computing without SQL 2009 CIDR 0.00012327118
1,257 Towards Linear Algebra over Normalized Data 2017 VLDB 0.0001130959
1,614 Compressed Linear Algebra for Large-Scale Machine Learning 2016 VLDB 0.00010067153
3,331 SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning 2017 CIDR 7.4138851e-05
3,373 F: Regression Models over Factorized Views 2016 VLDB 7.3627128e-05
5,683 Demonstration of Santoku: Optimizing Machine Learning over Normalized Data 2015 VLDB 6.0369434e-05
6,978 SparkR: Scaling R Programs with Spark 2016 SIGMOD 5.6272603e-05
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