ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation
Summary: ASM harmonizes autoregressive per-table statistics, sampling for join merging, and multidimensional statistics merging to estimate many queries without join-key independence. This yields better plans with similar or lower overhead and wider query coverage than CE. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kyoungmin Kim (Pohang University of Science and Technology)
- 2. Sangoh Lee (Pohang University of Science and Technology)
- 3. Injung Kim (Handong Global University)
- 4. Wook-Shin Han (Pohang University of Science and Technology)
BibTeX Citation
@inproceedings{kim_sigmod24,
title = {{ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation}},
author = {Kim, Kyoungmin and Lee, Sangoh and Kim, Injung and Han, Wook-Shin},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3639300},
url = {https://dl.acm.org/doi/10.1145/3639300},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,601 | Low Rank Learning for Offline Query Optimization | 2025 | SIGMOD | 5.2487799e-05 |
| 9,626 | Spatial Query Optimization With Learning | 2024 | VLDB | 5.2434488e-05 |
| 9,958 | A Practical Theory of Generalization in Selectivity Learning | 2025 | VLDB | 5.1879626e-05 |
| 9,971 | Athena: An Effective Learning-based Framework for Query Optimizer Performance Improvement | 2025 | SIGMOD | 5.1845938e-05 |
| 10,486 | Qualitative Join Discovery in Data Lakes using Examples | 2026 | SIGMOD | 5.093636e-05 |
| 10,591 | Vodka: Rethink Benchmarking Philosophy in HTAP Systems | 2026 | VLDB | 5.093636e-05 |
| 10,875 | Data-Agnostic Cardinality Learning from Imperfect Workloads | 2025 | VLDB | 5.093636e-05 |
| 10,945 | The Accuracy of Cardinality Estimators: Unraveling the Evaluation Result Conundrum | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 35 of 35 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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