A Flexible Forecasting Stack
Summary: Modular forecasting stack unifying deep and classical methods, automating model selection, and scaling to non‑stationary, many‑series workloads via GluonTS/AutoGluon on SageMaker. Basis for AWS Forecast/Canvas; shares predictive and provisioning lessons from DynamoDB/Redshift/Athena. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Tim Januschowski
- 2. Yuyang Wang
- 3. Jan Gasthaus
- 4. Syama Rangapuram
- 5. Caner Türkmen
- 6. Jasper Zschiegner
- 7. Lorenzo Stella
- 8. Michael Bohlke-Schneider
- 9. Danielle Maddix
- 10. Konstantinos Benidis
- 11. Alexander Alexandrov
- 12. Christos Faloutsos
- 13. Sebastian Schelter
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,710 | Amazon DynamoDB: A Seamlessly Scalable Non-relational Datastore | 2012 | SIGMOD | 0.00010039969 |
| 1,915 | Elastic Machine Learning Algorithms in Amazon SageMaker | 2020 | SIGMOD | 9.5806135e-05 |
| 3,542 | The evolution of Amazon Redshift (extended abstract) | 2021 | VLDB | 7.3868511e-05 |
| 5,081 | Forecasting Big Time Series: Old and New | 2018 | VLDB | 6.4386901e-05 |
| 5,106 | Probabilistic Demand Forecasting at Scale | 2017 | VLDB | 6.4265568e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,104 | AutoCTS: Automated Correlated Time Series Forecasting | 2022 | VLDB | 6.4268483e-05 |
| 5,427 | SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting | 2023 | VLDB | 6.2932384e-05 |
| 3,755 | Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift | 2023 | SIGMOD | 7.2037909e-05 |
| 3,454 | Processing Forecasting Queries | 2007 | VLDB | 7.4734986e-05 |
| 4,074 | AutoAI-TS: AutoAI for Time Series Forecasting | 2021 | SIGMOD | 6.9829801e-05 |
| 1,915 | Elastic Machine Learning Algorithms in Amazon SageMaker | 2020 | SIGMOD | 9.5806135e-05 |
| 6,562 | Database Workload Capacity Planning using Time Series Analysis and Machine Learning | 2020 | SIGMOD | 5.8965957e-05 |
| 5,106 | Probabilistic Demand Forecasting at Scale | 2017 | VLDB | 6.4265568e-05 |
| 4,358 | Classical and Contemporary Approaches to Big Time Series Forecasting | 2019 | SIGMOD | 6.8144182e-05 |
| 5,081 | Forecasting Big Time Series: Old and New | 2018 | VLDB | 6.4386901e-05 |