Back to papers
Approximate Selection with Guarantees using Proxies
Summary: Introduces algorithms for approximate selection with statistical guarantees using cheap proxies and limited exact identifications from an oracle. Guarantees target precision or recall with high probability, outperforming prior proxy-based methods—up to 30x improvement on real and synthetic datasets.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 12095
- Venue
- VLDB
- Year
- 2020
- Pagerank
- 6.9763548e-05
- Overall Rank
- 3,553 | 75.31%
- DOI
-
10.14778/3407790.3407804
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 21 of 21 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 3,291 |
Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics |
2021 |
VLDB |
7.2607192e-05 |
| 4,492 |
TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data |
2022 |
SIGMOD |
6.1374891e-05 |
| 4,565 |
Optimizing Video Analytics with Declarative Model Relationships |
2023 |
VLDB |
6.0746821e-05 |
| 4,642 |
VIVA: An End-to-End System for Interactive Video Analytics |
2022 |
CIDR |
6.0214283e-05 |
| 4,703 |
Accelerating Approximate Aggregation Queries with Expensive Predicates |
2021 |
VLDB |
5.9793615e-05 |
| 5,062 |
Optimizing Machine Learning Inference Queries with Correlative Proxy Models |
2022 |
VLDB |
5.7172262e-05 |
| 6,306 |
Seiden: Revisiting Query Processing in Video Database Systems |
2023 |
VLDB |
5.1146055e-05 |
| 7,334 |
Aero: Adaptive Query Processing of ML Queries |
2025 |
SIGMOD |
4.7538944e-05 |
| 7,911 |
Accelerating Aggregation Queries on Unstructured Streams of Data |
2023 |
VLDB |
4.6143141e-05 |
| 8,464 |
Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS |
2025 |
VLDB |
4.5003888e-05 |
| 9,311 |
On Efficient Approximate Queries over Machine Learning Models |
2023 |
VLDB |
4.3535588e-05 |
| 9,767 |
TVM: A Tile-based Video Management Framework |
2024 |
VLDB |
4.2815042e-05 |
| 9,772 |
Everest: A Top-K Deep Video Analytics System |
2022 |
SIGMOD |
4.2815042e-05 |
| 9,788 |
Demonstration of Accelerating Machine Learning Inference Queries with Correlative Proxy Models |
2022 |
VLDB |
4.2799988e-05 |
| 9,789 |
RALF: Accuracy-Aware Scheduling for Feature Store Maintenance |
2024 |
VLDB |
4.2786659e-05 |
| 10,064 |
Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,187 |
On Efficient Approximate Aggregate Nearest Neighbor Queries over Learned Representations |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,215 |
Task Cascades for Efficient Unstructured Data Processing |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,394 |
MAST: Towards Efficient Analytical Query Processing on Point Cloud Data |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,532 |
Scalable Complex Event Processing on Video Streams |
2025 |
SIGMOD |
4.1905499e-05 |
| 11,429 |
Accelerating Queries over Unstructured Data with ML |
2021 |
CIDR |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 5,062 |
Optimizing Machine Learning Inference Queries with Correlative Proxy Models |
2022 |
VLDB |
5.7172262e-05 |
| 8,383 |
Consistent and Flexible Selectivity Estimation for High-Dimensional Data |
2021 |
SIGMOD |
4.5261239e-05 |
| 8,646 |
Optimizing Video Selection LIMIT Queries With Commonsense Knowledge |
2024 |
VLDB |
4.4720866e-05 |
| 5,744 |
Efficient Algorithms for Crowd-Aided Categorization |
2020 |
VLDB |
5.343155e-05 |
| 4,439 |
Approximating Predicates and Expressive Queries on Probabilistic Databases |
2008 |
PODS |
6.1806955e-05 |
| 11,599 |
Minimization of Classifier Construction Cost for Search Queries |
2020 |
SIGMOD |
4.1905499e-05 |
| 3,955 |
Efficiently Approximating Selectivity Functions using Low Overhead Regression Models |
2020 |
VLDB |
6.5895015e-05 |
| 11,429 |
Accelerating Queries over Unstructured Data with ML |
2021 |
CIDR |
4.1905499e-05 |
| 4,703 |
Accelerating Approximate Aggregation Queries with Expensive Predicates |
2021 |
VLDB |
5.9793615e-05 |
| 9,311 |
On Efficient Approximate Queries over Machine Learning Models |
2023 |
VLDB |
4.3535588e-05 |