Scalable and Usable Relational Learning With Automatic Language Bias

Summary: AutoBias automatically induces data-driven language bias to guide relational model learning, reducing manual bias engineering. Efficient sampling and learning scale to large datasets, achieving comparable accuracy to manual bias with modest overhead. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6166
Venue: SIGMOD
Year: 2021
Pagerank: 4.2621158e-05
Overall Rank: 9,886 | 31.23%
DOI: 10.1145/3448016.3457275

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,177	InferF: Declarative Factorization of AI/ML Inferences over Joins	2026	SIGMOD	4.1945683e-05

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
18	On Random Sampling over Joins	1999	SIGMOD	0.00092385438
192	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00035728858
1,267	Foofah: Transforming Data By Example	2017	SIGMOD	0.00012936483
1,369	Random Sampling over Joins Revisited	2018	SIGMOD	0.00012339777
1,459	Query From Examples: An Iterative, Data-Driven Approach to Query Construction	2015	VLDB	0.00011889802
2,750	Learning and Verifying Quantified Boolean Queries by Example	2013	PODS	8.176296e-05
2,982	FastQRE: Fast Query Reverse Engineering	2018	SIGMOD	7.7801984e-05
3,345	QuickFOIL: Scalable Inductive Logic Programming	2015	VLDB	7.1958815e-05
3,661	Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity	2019	VLDB	6.8689912e-05
3,663	Reverse Engineering Aggregation Queries	2017	VLDB	6.8647221e-05
4,784	Divide & Conquer-based Inclusion Dependency Discovery	2015	VLDB	5.9240851e-05
5,208	Interactive Mapping Specification with Exemplar Tuples	2017	SIGMOD	5.6296265e-05
7,664	Schema Independent Relational Learning	2017	SIGMOD	4.6857329e-05
8,637	Machine Learning for Data Management: Problems and Solutions	2018	SIGMOD	4.479892e-05

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