The Fast and the Private: Task-based Dataset Search
Summary: Mileena uses pre-computed semi-ring sketches to rapidly evaluate joins/unions that augment a requester's dataset for task-driven ML, enabling low-latency training and evaluation over large corpora. Introduces a Factorized Privacy Mechanism for scalable differential privacy with minimal utility loss, and integrates LLM-based transformation agents plus semi-ring extensions for causal discovery and treatment-effect estimation. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zezhou Huang (Columbia University)
- 2. Jiaxiang Liu (Columbia University)
- 3. Haonan Wang (Columbia University)
- 4. Eugene Wu (Columbia University)
BibTeX Citation
@inproceedings{huang_cidr24,
address = {Amsterdam, Netherlands},
series = {{CIDR} '24},
title = {{The Fast and the Private: Task-based Dataset Search}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Huang, Zezhou and Liu, Jiaxiang and Wang, Haonan and Wu, Eugene},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,773 | Fair and Actionable Causal Prescription Ruleset | 2025 | SIGMOD | 5.2209769e-05 |
| 10,627 | Revisiting Task-Oriented Dataset Search in the Era of Large Language Models: Challenges, Benchmark, and Solution | 2026 | VLDB | 5.093636e-05 |
| 10,968 | Suna: Scalable Causal Confounder Discovery over Relational Data | 2025 | VLDB | 5.093636e-05 |
| 11,164 | An LDP Compatible Sketch for Securely Approximating Set Intersection Cardinalities | 2024 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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