F: Regression Models over Factorized Views

Summary: F builds regression models over factorized views, avoiding join/materialization redundancy. Outperforms MADlib, R, StatsModels via factorized data; supports train and SQL encoding, enabling model-space exploration with compute decoupled from convergence. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11474
Venue: VLDB
Year: 2016
Pagerank: 7.5110164e-05
Overall Rank: 3,334 | 77.13%
DOI: 10.14778/3007263.3007312

Incoming Non-self Citations Over Time

Authors

1. Dan Olteanu (University of Oxford)
2. Maximilian Schleich (University of Oxford)

BibTeX Citation

@article{olteanu_vldb16,
        title = {{F: Regression Models over Factorized Views}},
        author = {Olteanu, Dan and Schleich, Maximilian},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {13},
        pages = {1573},
        doi = {10.14778/3007263.3007312},
        url = {https://doi.org/10.14778/3007263.3007312},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
321	Worst-Case Optimal Join Algorithms: Techniques, Results, and Open Problems	2018	PODS	0.00021283186
1,235	Towards Linear Algebra over Normalized Data	2017	VLDB	0.00011548457
1,569	HELIX: Holistic Optimization for Accelerating Iterative Machine Learning	2019	VLDB	0.00010335423
2,179	Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra	2019	SIGMOD	9.0146333e-05
3,206	Incremental View Maintenance with Triple Lock Factorization Benefits	2018	SIGMOD	7.6367549e-05
4,128	The Relational Data Borg is Learning	2020	VLDB	6.8850804e-05
5,593	Beyond Equi-joins: Ranking, Enumeration and Factorization	2021	VLDB	6.1552328e-05
5,601	Optimal Join Algorithms Meet Top-k	2020	SIGMOD	6.1540123e-05
6,339	In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle	2022	SIGMOD	5.907165e-05
7,112	Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning	2023	VLDB	5.6990782e-05
9,371	Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning	2021	VLDB	5.275595e-05
10,466	InferF: Declarative Factorization of AI/ML Inferences over Joins	2026	SIGMOD	5.093636e-05
11,189	StarfishDB: a Query Execution Engine for Relational Probabilistic Programming	2024	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
106	The MADlib Analytics Library or MAD Skills, the SQL	2012	VLDB	0.00033539462
536	Learning Linear Regression Models over Factorized Joins	2016	SIGMOD	0.0001693369
860	Aggregation and Ordering in Factorised Databases	2013	VLDB	0.00013560445
5,557	Demonstration of Santoku: Optimizing Machine Learning over Normalized Data	2015	VLDB	6.17499e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	10,466	InferF: Declarative Factorization of AI/ML Inferences over Joins	2026	SIGMOD
2	640	Materialization Optimizations for Feature Selection Workloads	2014	SIGMOD
3	2,179	Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra	2019	SIGMOD
4	860	Aggregation and Ordering in Factorised Databases	2013	VLDB
5	2,991	FactorJoin: A New Cardinality Estimation Framework for Join Queries	2023	SIGMOD
6	4,609	F-IVM: Learning over Fast-Evolving Relational Data	2020	SIGMOD
7	2,392	FDB: A Query Engine for Factorised Relational Databases	2012	VLDB
8	3,206	Incremental View Maintenance with Triple Lock Factorization Benefits	2018	SIGMOD
9	715	Learning Generalized Linear Models Over Normalized Data	2015	SIGMOD
10	536	Learning Linear Regression Models over Factorized Joins	2016	SIGMOD