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Probabilistic Query Evaluation: The Combined FPRAS Landscape

Summary: FPRAS for probabilistic query evaluation (PQE) over tuple-independent databases for any class of self-join-free conjunctive queries with bounded hypertree width, running polynomially in both query length and instance size. Overcomes lineage blow-up and shows classes that are #P-hard to evaluate exactly but admit efficient combined-complexity approximation. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1896
Venue
PODS
Year
2023
Pagerank
4.8132033e-05
Overall Rank
7,163 | 50.17%
DOI
10.1145/3584372.3588677

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
9,748 Combined Approximations for Uniform Operational Consistent Query Answering 2024 PODS 4.2897489e-05
10,009 The Space-Time Complexity of Sum-Product Queries 2026 PODS 4.1945683e-05
10,362 Towards Practical FPRAS for #NFA: Exploiting the Power of Dependence 2025 PODS 4.1945683e-05
10,918 A faster FPRAS for #NFA 2024 PODS 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

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