An Intermediate Representation for Hybrid Database and Machine Learning Workloads
Summary: IFAQ: an IR and compiler for hybrid DB/ML workloads, expressed as iterative programs with functional aggregates. Demonstrates OLAP, linear algebra, and factorization-machine learning on training data from relational feature-extraction queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Amir Shaikhha
- 2. Maximilian Schleich
- 3. Dan Olteanu
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,157 | Optimizing Tensor Programs on Flexible Storage | 2023 | SIGMOD | 5.1755682e-05 |
| 10,909 | Tight Bounds of Circuits for Sum-Product Queries | 2024 | PODS | 4.1905499e-05 |
| 11,284 | Demonstration of OpenDBML, a Framework for Democratizing In-Database Machine Learning | 2023 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 59 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB | 0.0006445664 |
| 2,383 | How to Architect a Query Compiler | 2016 | SIGMOD | 8.9198524e-05 |
| 3,280 | A Layered Aggregate Engine for Analytics Workloads | 2019 | SIGMOD | 7.2813732e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,311 | On Efficient Approximate Queries over Machine Learning Models | 2023 | VLDB | 4.3535588e-05 |
| 5,645 | Database Workload Characterization with Query Plan Encoders | 2022 | VLDB | 5.3928148e-05 |
| 5,524 | Facilitating SQL Query Composition and Analysis | 2020 | SIGMOD | 5.4589341e-05 |
| 3,280 | A Layered Aggregate Engine for Analytics Workloads | 2019 | SIGMOD | 7.2813732e-05 |
| 4,547 | Database-Agnostic Workload Management | 2019 | CIDR | 6.0904384e-05 |
| 3,009 | On Functional Aggregate Queries with Additive Inequalities | 2019 | PODS | 7.7230513e-05 |
| 8,981 | HADAD: A Lightweight Approach for Optimizing Hybrid Complex Analytics Queries | 2021 | SIGMOD | 4.4138435e-05 |
| 2,197 | Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra | 2019 | SIGMOD | 9.3117431e-05 |
| 10,177 | InferF: Declarative Factorization of AI/ML Inferences over Joins | 2026 | SIGMOD | 4.1905499e-05 |
| 9,775 | Structure-Aware Machine Learning over Multi-Relational Databases | 2021 | SIGMOD | 4.2815042e-05 |