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Learning-based Property Estimation with Polynomials

Summary: Learning-based, polynomial-approximation framework for frequency-based property estimation (NDV, entropy, power sums) from samples/histograms. Learns polynomial coefficients to combine ML adaptability with theoretical error guarantees, unifying previously separate statistical and learning-based estimators. (summarized by gpt-5.4-mini on May 24 2026)

Paper ID
6954
Venue
SIGMOD
Year
2024
Pagerank
4.4394021e-05
Overall Rank
8,835 | 38.54%
DOI
10.1145/3654994

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