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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
5948
Venue
SIGMOD
Year
2020
Pagerank
9.4524758e-05
Overall Rank
1,937 | 86.72%
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 18 of 18 citing papers.

Rank Citing Paper Year Venue Pagerank
2,273 SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging 2021 SIGMOD 8.8230899e-05
2,657 Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities 2021 SIGMOD 8.2887895e-05
3,272 VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition 2021 VLDB 7.5775321e-05
3,634 Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees 2023 SIGMOD 7.2358691e-05
4,011 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD 6.959982e-05
4,240 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 6.809685e-05
6,525 Hindsight Logging for Model Training 2021 VLDB 5.8514923e-05
7,127 SubStrat: A Subset-Based Optimization Strategy for Faster AutoML 2023 VLDB 5.6957765e-05
7,901 Cloud Databases: New Techniques, Challenges, and Opportunities 2022 VLDB 5.5185913e-05
8,643 PACE: Poisoning Attacks on Learned Cardinality Estimation 2024 SIGMOD 5.3940849e-05
8,981 COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon 2024 SIGMOD 5.3397793e-05
9,245 Towards Observability for Production Machine Learning Pipelines 2022 VLDB 5.2992628e-05
9,898 ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems 2023 VLDB 5.1997534e-05
10,635 Flow with FlorDB: Incremental Context Maintenance for the Machine Learning Lifecycle 2025 CIDR 5.093636e-05
11,283 A Flexible Forecasting Stack 2024 VLDB 5.093636e-05
11,420 F3 KM: Federated, Fair, and Fast k-means 2023 SIGMOD 5.093636e-05
11,512 Towards Observability for Machine Learning Pipelines 2022 CIDR 5.093636e-05
11,587 CDI-E: An Elastic Cloud Service for Data Engineering 2022 VLDB 5.093636e-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
20 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.00056944564
415 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.0001888524
1,150 DimmWitted: A Study of Main-Memory Statistical Analytics 2014 VLDB 0.00011943462
1,639 Summingbird: A Framework for Integrating Batch and Online MapReduce Computations 2014 VLDB 0.00010155021
1,756 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.8172465e-05
2,085 Scalable K-Means++ 2012 VLDB 9.1943614e-05
5,182 Probabilistic Demand Forecasting at Scale 2017 VLDB 6.3287692e-05
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