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Optimizing Machine Learning Inference Queries with Correlative Proxy Models

Summary: CORE builds correlated proxy models for ML inference on data, using branch-and-bound search to exploit predicate correlations. It outperforms PP and as-is execution, with up to 63% and 80% throughput gains on text, image, and video datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12700
Venue
VLDB
Year
2022
Pagerank
5.7185674e-05
Overall Rank
5,072 | 64.72%
DOI
10.14778/3547305.3547310

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank Citing Paper Year Venue Pagerank
4,567 Optimizing Video Analytics with Declarative Model Relationships 2023 VLDB 6.080526e-05
4,687 Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures 2023 VLDB 5.9986055e-05
6,380 SmartLite: A DBMS-based Serving System for DNN Inference in Resource-constrained Environments 2024 VLDB 5.0893219e-05
6,877 Extract-Transform-Load for Video Streams 2023 VLDB 4.8974054e-05
7,338 Aero: Adaptive Query Processing of ML Queries 2025 SIGMOD 4.7584583e-05
9,351 On Efficient Approximate Queries over Machine Learning Models 2023 VLDB 4.3524472e-05
9,476 Adda: Towards Efficient in-Database Feature Generation via LLM-based Agents 2025 SIGMOD 4.3341665e-05
9,677 Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving 2025 SIGMOD 4.3047774e-05
9,807 Demonstration of Accelerating Machine Learning Inference Queries with Correlative Proxy Models 2022 VLDB 4.2805224e-05
10,883 IcedTea: Efficient and Responsive Time-Travel Debugging in Dataflow Systems 2025 VLDB 4.1945683e-05
10,996 Pasta: A Cost-Based Optimizer for Generating Pipelining Schedules for Dataflow DAGs 2024 SIGMOD 4.1945683e-05
11,061 Optimizing Video Queries with Declarative Clues 2024 VLDB 4.1945683e-05
11,213 Udon: Efficient Debugging of User-Defined Functions in Big Data Systems with Line-by-Line Control 2023 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
139 Predicate Migration: Optimizing Queries with Expensive Predicates 1993 SIGMOD 0.00042299329
224 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00032746205
329 Accelerating Machine Learning Inference with Probabilistic Predicates 2018 SIGMOD 0.00027249545
608 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00019235898
696 BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics 2020 VLDB 0.00018048935
1,043 Adaptive Ordering of Pipelined Stream Filters 2004 SIGMOD 0.00014476247
1,574 Approximate Query Processing: No Silver Bullet 2017 SIGMOD 0.00011287495
2,350 An Intermediate Representation for Optimizing Machine Learning Pipelines 2019 VLDB 8.9788641e-05
2,533 DeepLens: Towards a Visual Data Management System 2019 CIDR 8.5899934e-05
3,558 Approximate Selection with Guarantees using Proxies 2020 VLDB 6.9765724e-05
4,748 Rafiki: Machine Learning as an Analytics Service System 2019 VLDB 5.9526539e-05
6,330 Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse 2018 VLDB 5.1077416e-05
8,867 Optimization of Multi-Version Expensive Predicates 2007 SIGMOD 4.4322592e-05
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4,014 Exploiting Correlations for Expensive Predicate Evaluation 2015 SIGMOD 6.5273084e-05
6,590 Interactive Demonstration of Probabilistic Predicates 2018 SIGMOD 5.0010949e-05
4,712 Accelerating Approximate Aggregation Queries with Expensive Predicates 2021 VLDB 5.9787986e-05
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11,426 Accelerating Queries over Unstructured Data with ML 2021 CIDR 4.1945683e-05
9,351 On Efficient Approximate Queries over Machine Learning Models 2023 VLDB 4.3524472e-05
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9,807 Demonstration of Accelerating Machine Learning Inference Queries with Correlative Proxy Models 2022 VLDB 4.2805224e-05