Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization
Summary: ML development lifecycle reframed as data management; presents ease.ml/ci, a continuous integration engine for ML models, and ease.ml/meter, a profiler to curb overfitting. Both focus on the statistical generalization power of validation and test sets, offering principled data-management guidance for ML software engineering. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Cedric Renggli
- 2. Frances Ann Hubis
- 3. Bojan KarlasĖ
- 4. Kevin Schawinski
- 5. Wentao Wu
- 6. Ce Zhang
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,508 | spade: Synthesizing Data Quality Assertions for Large Language Model Pipelines | 2024 | VLDB | 7.0271496e-05 |
| 4,557 | Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches | 2021 | VLDB | 6.087611e-05 |
| 11,431 | Ease.ML: A Lifecycle Management System for MLDev and MLOps | 2021 | CIDR | 4.1945683e-05 |
| 11,607 | Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development | 2020 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,350 | Northstar: An Interactive Data Science System | 2018 | VLDB | 0.00012431059 |
| 1,391 | Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads | 2018 | VLDB | 0.0001223506 |
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