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)
Incoming Non-self Citations Over Time
Authors
- 1. Jiajun Li (Renmin University of China)
- 2. Runlin Lei (Renmin University of China)
- 3. Sibo Wang (Chinese University of Hong Kong)
- 4. Zhewei Wei (Renmin University of China)
- 5. Bolin Ding (Alibaba)
BibTeX Citation
@inproceedings{li_sigmod24,
title = {{Learning-based Property Estimation with Polynomials}},
author = {Li, Jiajun and Lei, Runlin and Wang, Sibo and Wei, Zhewei and Ding, Bolin},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3654994},
url = {https://dl.acm.org/doi/10.1145/3654994},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,774 | PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models | 2025 | SIGMOD | 5.093636e-05 |
| 10,806 | AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 55 | Statistical Estimators for Relational Algebra Expressions | 1988 | PODS | 0.00040746149 |
| 288 | Towards Estimation Error Guarantees for Distinct Values | 2000 | PODS | 0.00022296371 |
| 1,806 | Effective Use of Block-Level Sampling in Statistics Estimation | 2004 | SIGMOD | 9.7112151e-05 |
| 1,988 | FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation | 2021 | VLDB | 9.3501502e-05 |
| 2,664 | Adaptive and Big Data Scale Parallel Execution in Oracle | 2013 | VLDB | 8.2816537e-05 |
| 4,349 | ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads | 2024 | VLDB | 6.7504619e-05 |
| 7,290 | Learning to be a Statistician: Learned Estimator for Number of Distinct Values | 2022 | VLDB | 5.6540503e-05 |
| 7,807 | Efficient Approximate Algorithms for Empirical Entropy and Mutual Information | 2021 | SIGMOD | 5.5404259e-05 |
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|---|---|---|---|---|
| 1 | 5,860 | Understanding Cardinality Estimation using Entropy Maximization | 2010 | PODS |
| 2 | 1,061 | Are We Ready For Learned Cardinality Estimation? | 2021 | VLDB |
| 3 | 2,543 | Learned Cardinality Estimation: An In-depth Study | 2022 | SIGMOD |
| 4 | 1,573 | Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries | 2020 | SIGMOD |
| 5 | 9,994 | Efficient Algorithms for Cardinality Estimation and Conjunctive Query Evaluation With Simple Degree Constraints | 2025 | PODS |
| 6 | 7,554 | Consistent Histograms In The Presence of Distinct Value Counts | 2009 | VLDB |
| 7 | 465 | An End-to-End Learning-based Cost Estimator | 2020 | VLDB |
| 8 | 7,268 | Cardinality Estimation of Approximate Substring Queries using Deep Learning | 2022 | VLDB |
| 9 | 2,723 | Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation | 2022 | VLDB |
| 10 | 7,290 | Learning to be a Statistician: Learned Estimator for Number of Distinct Values | 2022 | VLDB |