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Supporting User-Defined Functions on Uncertain Data

Summary: General framework for supporting UDFs on uncertain data, using Gaussian processes to approximate output distributions with guaranteed error bounds. Online algorithm with optimizations; outperforms sampling by up to 100× on real-world and synthetic UDFs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10711
Venue
VLDB
Year
2013
Pagerank
4.514792e-05
Overall Rank
8,433 | 41.34%
DOI
-

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Rank Citing Paper Year Venue Pagerank
2,365 The Analytical Bootstrap: a New Method for Fast Error Estimation in Approximate Query Processing 2014 SIGMOD 8.9551432e-05
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