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Elastic Machine Learning Algorithms in Amazon SageMaker

Summary: Elastic training on SageMaker with incremental, resumable, elastic learning and hyperparameter optimization. Adaptation of common ML algorithms to SageMaker; experiments show faster, cheaper training vs JVM-based implementations on datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h145b2ede48cf07af
Venue
SIGMOD
Year
2020
Pagerank
9.3607648e-05
Overall Rank
1,927 | 87.05%
DOI
10.1145/3318464.3386126

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{liberty_sigmod20,
        title = {{Elastic Machine Learning Algorithms in Amazon SageMaker}},
        author = {Liberty, Edo and Karnin, Zohar and Xiang, Bing and Rouesnel, Laurence and Coskun, Baris and Nallapati, Ramesh and Delgado, Julio and Sadoughi, Amir and Astashonok, Yury and Das, Piali and Balioglu, Can and Chakravarty, Saswata and Jha, Madhav and Gautier, Philip and Arpin, David and Januschowski, Tim and Flunkert, Valentin and Wang, Yuyang and Gasthaus, Jan and Stella, Lorenzo and Rangapuram, Syama and Salinas, David and Schelter, Sebastian and Smola, Alex},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3386126},
        url = {https://dl.acm.org/doi/10.1145/3318464.3386126},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 20 of 20 citing papers.

Rank Citing Paper Year Venue Pagerank
2,187 Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities 2021 SIGMOD 8.8896655e-05
2,326 SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging 2021 SIGMOD 8.6309237e-05
3,331 VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition 2021 VLDB 7.4166095e-05
3,399 Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees 2023 SIGMOD 7.3349076e-05
4,079 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD 6.818264e-05
4,334 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 6.6569314e-05
6,652 Hindsight Logging for Model Training 2021 VLDB 5.7202005e-05
7,275 SubStrat: A Subset-Based Optimization Strategy for Faster AutoML 2023 VLDB 5.5679786e-05
8,047 Cloud Databases: New Techniques, Challenges, and Opportunities 2022 VLDB 5.4006048e-05
8,800 PACE: Poisoning Attacks on Learned Cardinality Estimation 2024 SIGMOD 5.2742531e-05
9,114 COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon 2024 SIGMOD 5.2275959e-05
9,417 Towards Observability for Production Machine Learning Pipelines 2022 VLDB 5.1803615e-05
9,996 Flow with FlorDB: Incremental Context Maintenance for the Machine Learning Lifecycle 2025 CIDR 5.0979044e-05
10,084 ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems 2023 VLDB 5.0830849e-05
10,898 stratum: A System Infrastructure for Massive Agent-Centric ML Workloads 2026 VLDB 4.9793485e-05
10,932 IMLane: Composable Framework for Efficient AI Function Execution in Database Engine 2026 VLDB 4.9793485e-05
11,607 A Flexible Forecasting Stack 2024 VLDB 4.9793485e-05
11,734 F3 KM: Federated, Fair, and Fast k-means 2023 SIGMOD 4.9793485e-05
11,821 Towards Observability for Machine Learning Pipelines 2022 CIDR 4.9793485e-05
11,895 CDI-E: An Elastic Cloud Service for Data Engineering 2022 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
22 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.00055962491
415 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.0001865959
1,167 DimmWitted: A Study of Main-Memory Statistical Analytics 2014 VLDB 0.00011729888
1,633 Summingbird: A Framework for Integrating Batch and Online MapReduce Computations 2014 VLDB 0.00010019617
1,668 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.9371612e-05
2,128 Scalable K-Means++ 2012 VLDB 8.9964096e-05
5,304 Probabilistic Demand Forecasting at Scale 2017 VLDB 6.1873575e-05
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