A Demonstration of Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference
Summary: Statistically-aware end-to-end optimizer for ML inference that cascades feature computation via a cost-model to select high-value, low-cost features. Demonstrates up to 5x speedups with negligible accuracy loss; interactive Jupyter notebooks illustrate applicable workloads and usage. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Peter Kraft
- 2. Daniel Kang
- 3. Deepak Narayanan
- 4. Shoumik Palkar
- 5. Peter Bailis
- 6. Matei Zaharia
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,809 | Extending Relational Query Processing with ML Inference | 2020 | CIDR | 8.0869552e-05 |
| 3,409 | End-to-end Optimization of Machine Learning Prediction Queries | 2022 | SIGMOD | 7.1240791e-05 |
| 8,057 | Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines | 2024 | VLDB | 4.5903427e-05 |
| 8,340 | Deep Learning: Systems and Responsibility | 2021 | SIGMOD | 4.5381546e-05 |
| 8,531 | Sommelier: Curating DNN Models for the Masses | 2022 | SIGMOD | 4.4893996e-05 |
| 9,789 | RALF: Accuracy-Aware Scheduling for Feature Store Maintenance | 2024 | VLDB | 4.2786659e-05 |
| 10,337 | KEN: An Execution Engine for Unstructured Database Systems | 2026 | VLDB | 4.1905499e-05 |
| 11,279 | Sniffer: A Novel Model Type Detection System against Machine-Learning-as-a-Service Platforms | 2023 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,904 | Evaluating End-to-End Optimization for Data Analytics Applications in Weld | 2018 | VLDB | 7.9403097e-05 |
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