sPaQLTooLs: A Stochastic Package Query Interface for Scalable Constrained Optimization

Summary: Proposes SPQs for in-database specification of constrained stochastic optimization. Combines Monte Carlo databases with SUMMARYSEARCH to provide approximation guarantees and substantial speedups over prior in-database approaches. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12153
Venue: VLDB
Year: 2020
Pagerank: 4.2751057e-05
Overall Rank: 9,831 | 31.61%
DOI: 10.14778/3415478.3415499

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,954	Counterfactual Explanation at Will, with Zero Privacy Leakage	2024	SIGMOD	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
321	MCDB: A Monte Carlo Approach to Managing Uncertain Data	2008	SIGMOD	0.00027527389
8,705	Stochastic Package Queries in Probabilistic Databases	2020	SIGMOD	4.4646588e-05

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