The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development
Summary: Unifies ML libraries via ML primitives API and pipeline composition to automate end-to-end ML systems. AutoML via Bayesian optimization and bandit strategies for a multi-task, cross-modal platform, evaluated on 456 tasks and 2.5M pipelines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Micah J. Smith (Massachusetts Institute of Technology)
- 2. Carles Sala (Massachusetts Institute of Technology)
- 3. James Max Kanter (Feature Labs)
- 4. Kalyan Veeramachaneni (Massachusetts Institute of Technology)
BibTeX Citation
@inproceedings{smith_sigmod20,
title = {{The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development}},
author = {Smith, Micah J. and Sala, Carles and Kanter, James Max and Veeramachaneni, Kalyan},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3386146},
url = {https://dl.acm.org/doi/10.1145/3318464.3386146},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,839 | Doing More with Less: Characterizing Dataset Downsampling for AutoML | 2021 | VLDB | 6.0699037e-05 |
| 6,721 | Sintel: A Machine Learning Framework to Extract Insights from Signals | 2022 | SIGMOD | 5.7940977e-05 |
| 11,627 | Leam: An Interactive System for In-situ Visual Text Analysis | 2021 | CIDR | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 415 | SystemML: Declarative Machine Learning on Spark | 2016 | VLDB | 0.0001888524 |
| 963 | The Data Civilizer System | 2017 | CIDR | 0.00012935145 |
| 1,004 | Democratizing Data Science through Interactive Curation of ML Pipelines | 2019 | SIGMOD | 0.00012701932 |
| 1,077 | DataHub: Collaborative Data Science & Dataset Version Management at Scale | 2015 | CIDR | 0.00012269438 |
| 2,050 | Vizdom: Interactive Analytics through Pen and Touch | 2015 | VLDB | 9.2546631e-05 |
| 2,316 | Evaluating End-to-End Optimization for Data Analytics Applications in Weld | 2018 | VLDB | 8.7596739e-05 |
| 4,118 | Rafiki: Machine Learning as an Analytics Service System | 2019 | VLDB | 6.8908973e-05 |
| 4,214 | The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox | 2015 | CIDR | 6.8276099e-05 |
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