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Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines
Summary: mlwhatif declaratively specifies data-centric what-if analyses over ML pipelines and auto-generates variants via patches. A 4-rule optimizer executes variants; instrumented dataflow plans enable linear speedups (up to 13x) and data-size independence.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6632
- Venue
- SIGMOD
- Year
- 2023
- Pagerank
- 4.5444167e-05
- Overall Rank
- 8,253 | 42.65%
- DOI
-
10.1145/3589273
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 179 |
Efficient and Extensible Algorithms for Multi Query Optimization |
2000 |
SIGMOD |
0.00037637319 |
| 185 |
DuckDB: an Embeddable Analytical Database |
2019 |
SIGMOD |
0.00036529607 |
| 516 |
Can Foundation Models Wrangle Your Data? |
2023 |
VLDB |
0.00021194444 |
| 788 |
ActiveClean: Interactive Data Cleaning For Statistical Modeling |
2016 |
VLDB |
0.00016618698 |
| 1,293 |
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms |
2019 |
VLDB |
0.00012749902 |
| 1,340 |
HoloDetect: Few-Shot Learning for Error Detection |
2019 |
SIGMOD |
0.00012492795 |
| 1,406 |
Responsible Data Management |
2020 |
VLDB |
0.0001216385 |
| 1,427 |
Towards Scalable Dataframe Systems |
2020 |
VLDB |
0.00012033503 |
| 1,646 |
Caravan: Provisioning for What-If Analysis |
2013 |
CIDR |
0.00011026644 |
| 1,666 |
HELIX: Holistic Optimization for Accelerating Iterative Machine Learning |
2019 |
VLDB |
0.00010955907 |
| 1,869 |
Interpretable Data-Based Explanations for Fairness Debugging |
2022 |
SIGMOD |
0.00010263235 |
| 2,122 |
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle |
2020 |
CIDR |
9.4905306e-05 |
| 2,290 |
Cost-Based Optimization of Decision Support Queries using Transient-Views |
1998 |
SIGMOD |
9.0918901e-05 |
| 2,456 |
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities |
2021 |
SIGMOD |
8.7649259e-05 |
| 2,904 |
Evaluating End-to-End Optimization for Data Analytics Applications in Weld |
2018 |
VLDB |
7.9403097e-05 |
| 3,409 |
End-to-end Optimization of Machine Learning Prediction Queries |
2022 |
SIGMOD |
7.1240791e-05 |
| 4,661 |
Efficient Answering of Historical What-if Queries |
2022 |
SIGMOD |
6.0069281e-05 |
| 4,731 |
MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines |
2021 |
SIGMOD |
5.9558692e-05 |
| 5,617 |
HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach |
2022 |
SIGMOD |
5.4085897e-05 |
| 6,464 |
Materialization and Reuse Optimizations for Production Data Science Pipelines |
2022 |
SIGMOD |
5.0471003e-05 |
| 8,515 |
UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads |
2022 |
VLDB |
4.4901466e-05 |
| 8,853 |
Complaint-Driven Training Data Debugging at Interactive Speeds |
2022 |
SIGMOD |
4.4308213e-05 |
| 11,312 |
Screening Native ML Pipelines with “ArgusEyes” |
2022 |
CIDR |
4.1905499e-05 |
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