On Efficient Approximate Queries over Machine Learning Models
Summary: Framework for approximate queries over ML predictions that minimizes expensive oracle (human/DNN) calls by combining cheap proxy scores with selective oracle sampling for precision- and recall-target queries. Two regimes—Proxy Quality (PQA/PQE) and Core Set Closure (CSC/CSE)—offer provable guarantees and empirically outperform prior work. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dujian Ding
- 2. Sihem Amer-Yahia
- 3. Laks Lakshmanan
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,064 | Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees | 2026 | SIGMOD | 4.1945683e-05 |
| 10,187 | On Efficient Approximate Aggregate Nearest Neighbor Queries over Learned Representations | 2026 | SIGMOD | 4.1945683e-05 |
| 10,523 | Scalable Complex Event Processing on Video Streams | 2025 | SIGMOD | 4.1945683e-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 |
|---|---|---|---|---|
| 329 | Accelerating Machine Learning Inference with Probabilistic Predicates | 2018 | SIGMOD | 0.00027249545 |
| 1,808 | Top-k Query Evaluation with Probabilistic Guarantees | 2004 | VLDB | 0.00010486213 |
| 2,804 | Extending Relational Query Processing with ML Inference | 2020 | CIDR | 8.0935487e-05 |
| 3,558 | Approximate Selection with Guarantees using Proxies | 2020 | VLDB | 6.9765724e-05 |
| 5,072 | Optimizing Machine Learning Inference Queries with Correlative Proxy Models | 2022 | VLDB | 5.7185674e-05 |
| 6,182 | Top-K Deep Video Analytics: A Probabilistic Approach | 2021 | SIGMOD | 5.1682689e-05 |
| 6,960 | Efficiently Answering Durability Prediction Queries | 2021 | SIGMOD | 4.8849367e-05 |
| 8,693 | A Generalized Approach for Reducing Expensive Distance Calls for A Broad Class of Proximity Problems | 2021 | SIGMOD | 4.466142e-05 |
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