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Ease.ML: A Lifecycle Management System for MLDev and MLOps
Summary: Ease.ML automates the entire MLDev/MLOps lifecycle (an eight-step process) rather than improving isolated stages, driven by practical user scenarios. Unique foundation: a probabilistic-database model with information-theoretic grounding to manage cross-stage uncertainty for end-to-end automation.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 425
- Venue
- CIDR
- Year
- 2021
- Pagerank
- 4.1905499e-05
- Overall Rank
- 11,434 | 20.54%
- DOI
-
-
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 192 |
HoloClean: Holistic Data Repairs with Probabilistic Inference |
2017 |
VLDB |
0.00035692958 |
| 252 |
Snorkel: Rapid Training Data Creation with Weak Supervision |
2018 |
VLDB |
0.00030532082 |
| 684 |
Cerebro: A Data System for Optimized Deep Learning Model Selection |
2020 |
VLDB |
0.00018152321 |
| 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 |
| 1,354 |
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 |
| 2,308 |
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions |
2021 |
VLDB |
9.0634287e-05 |
| 2,759 |
Complaint-driven Training Data Debugging for Query 2.0 |
2020 |
SIGMOD |
8.1646193e-05 |
| 2,871 |
Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations |
2019 |
SIGMOD |
7.9800983e-05 |
| 3,057 |
ZeroER: Entity Resolution using Zero Labeled Examples |
2020 |
SIGMOD |
7.6458287e-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 |
| 11,611 |
Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development |
2020 |
VLDB |
4.1905499e-05 |
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SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle |
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9.4905306e-05 |
| 7,309 |
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development |
2020 |
SIGMOD |
4.7611148e-05 |
| 11,611 |
Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development |
2020 |
VLDB |
4.1905499e-05 |
| 4,006 |
Data Platform for Machine Learning |
2019 |
SIGMOD |
6.5371762e-05 |
| 1,393 |
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads |
2018 |
VLDB |
0.00012223372 |
| 9,115 |
Ease.ml in Action: Towards Multi-tenant Declarative Learning Services |
2018 |
VLDB |
4.3886513e-05 |
| 7,138 |
Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization |
2019 |
VLDB |
4.8164681e-05 |