Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix
Summary: ASCS: online, one-pass sketching for sparse, trillion-scale covariance estimation. It introduces an active sampling strategy that boosts SNR versus vanilla Count Sketch, enabling accurate recovery of covariance entries in high-dimensional, sparse data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhenwei Dai
- 2. Aditya Desai
- 3. Reinhard Heckel
- 4. Anshumali Shrivastava
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,731 | Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent Items | 2023 | SIGMOD | 4.6612382e-05 |
| 8,246 | Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation | 2022 | VLDB | 4.5462498e-05 |
| 8,814 | Memory-Efficient and Flexible Detection of Heavy Hitters in High-Speed Networks | 2023 | SIGMOD | 4.4395913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,586 | Augmented Sketch: Faster and More Accurate Stream Processing | 2016 | SIGMOD | 0.00011245213 |
| 1,944 | Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing | 2018 | SIGMOD | 0.00010008078 |
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