Deep Unsupervised Cardinality Estimation
Summary: Deep autoregressive models for unsupervised cardinality estimation, no independence assumptions. Monte Carlo integration over autoregressors enables range queries across dimensions, delivering single-digit tail error and up to 90x gains vs baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zongheng Yang (University of California Berkeley)
- 2. Eric Liang (University of California Berkeley)
- 3. Amog Kamsetty (University of California Berkeley)
- 4. Chenggang Wu (University of California Berkeley)
- 5. Yan Duan (Covariant)
- 6. Xi Chen (Covariant; University of California Berkeley)
- 7. Pieter Abbeel (Covariant; University of California Berkeley)
- 8. Joseph M. Hellerstein (University of California Berkeley)
- 9. Sanjay Krishnan (University of Chicago)
- 10. Ion Stoica (University of California Berkeley)
BibTeX Citation
@article{yang_vldb20,
title = {{Deep Unsupervised Cardinality Estimation}},
author = {Yang, Zongheng and Liang, Eric and Kamsetty, Amog and Wu, Chenggang and Duan, Yan and Chen, Xi and Abbeel, Pieter and Hellerstein, Joseph M. and Krishnan, Sanjay and Stoica, Ion},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {3},
pages = {279--292},
doi = {10.14778/3368289.3368294},
url = {https://doi.org/10.14778/3368289.3368294},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 104 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,505 | LASER: Buffer-Aware Learned Query Scheduling in Master-Standby Databases | 2025 | VLDB | 4.9605343e-05 |
| 11,564 | Sub-optimal Join Order Identification with L1-error | 2024 | SIGMOD | 4.9605343e-05 |
| 11,777 | SH2O: Efficient Data Access for Work-Sharing Databases | 2023 | SIGMOD | 4.9605343e-05 |
| 11,898 | Juggler: Autonomous Cost Optimization and Performance Prediction of Big Data Applications | 2022 | SIGMOD | 4.9605343e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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