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Get the Most out of Your Sample: Optimal Unbiased Estimators using Partial Information

Summary: Method to derive optimal unbiased estimators for multi-instance queries (quantiles, ranges, subset-sums) that exploit partial information across sampled instances, improving on per-instance Horvitz–Thompson. Prove variance optimality and show large empirical gains. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1533
Venue
PODS
Year
2011
Pagerank
4.1945683e-05
Overall Rank
12,166 | 15.37%
DOI
-

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Rank Citing Paper Year Venue Pagerank
8,470 Sampling Big Ideas in Query Optimization 2023 PODS 4.5038423e-05
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