Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development
Summary: Feasibility analysis for ML app development via ease.ml/snoopy; predicts whether a target accuracy is achievable on a data distribution. First Bayes error estimator combining NN with pre-trained features; data-management tool for ML viability. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Cedric Renggli
- 2. Luka Rimanic
- 3. Luka Kolar
- 4. Wentao Wu
- 5. Ce Zhang
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,434 | Ease.ML: A Lifecycle Management System for MLDev and MLOps | 2021 | CIDR | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,354 | Northstar: An Interactive Data Science System | 2018 | VLDB | 0.00012424105 |
| 1,393 | Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads | 2018 | VLDB | 0.00012223372 |
| 6,012 | Apollo: A Dataset Profiling and Operator Modeling System | 2019 | SIGMOD | 5.2365238e-05 |
| 7,138 | Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization | 2019 | VLDB | 4.8164681e-05 |
| 9,115 | Ease.ml in Action: Towards Multi-tenant Declarative Learning Services | 2018 | VLDB | 4.3886513e-05 |
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