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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)

Paper ID
5968
Venue
SIGMOD
Year
2020
Pagerank
5.609366e-05
Overall Rank
7,473 | 48.73%
DOI
10.1145/3318464.3386146

Incoming Non-self Citations Over Time

Authors

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}
}

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