VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition

Summary: VolcanoML enables scalable AutoML by decomposing large search spaces (feature engineering, model selection, hyperparameters) into smaller subspaces via building blocks and a plan. It uses a Volcano-style, DB-inspired executor to run plans, delivering expressive decomposition and faster results than auto-sklearn. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12395
Venue: VLDB
Year: 2021
Pagerank: 8.0378978e-05
Overall Rank: 2,839 | 80.26%
DOI: 10.14778/3476249.3476270

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,812	Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation	2022	VLDB	6.7373184e-05
4,165	Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization	2021	VLDB	6.3921956e-05
5,026	AutoCTS: Automated Correlated Time Series Forecasting	2022	VLDB	5.7528419e-05
5,304	A Scalable AutoML Approach Based on Graph Neural Networks	2022	VLDB	5.5779335e-05
6,379	A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning	2023	SIGMOD	5.0909479e-05
6,589	AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting	2023	SIGMOD	5.001285e-05
6,871	Towards General and Efficient Online Tuning for Spark	2023	VLDB	4.8997004e-05
7,494	SubStrat: A Subset-Based Optimization Strategy for Faster AutoML	2023	VLDB	4.7180617e-05
9,192	Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale	2022	VLDB	4.3765131e-05
9,806	The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format	2024	SIGMOD	4.2805224e-05
10,560	A Systematic Study on Early Stopping Metrics in HPO and the Implications of Uncertainty	2025	VLDB	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
192	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00035728858
254	Snorkel: Rapid Training Data Creation with Weak Supervision	2018	VLDB	0.00030540555
683	Cerebro: A Data System for Optimized Deep Learning Model Selection	2020	VLDB	0.00018195476
791	ActiveClean: Interactive Data Cleaning For Statistical Modeling	2016	VLDB	0.00016629664
1,350	Northstar: An Interactive Data Science System	2018	VLDB	0.00012431059
1,391	Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads	2018	VLDB	0.0001223506
2,122	SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle	2020	CIDR	9.4989076e-05
2,163	Elastic Machine Learning Algorithms in Amazon SageMaker	2020	SIGMOD	9.3949234e-05
2,753	Complaint-driven Training Data Debugging for Query 2.0	2020	SIGMOD	8.1724339e-05
2,863	Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations	2019	SIGMOD	7.9877991e-05
3,140	ZeroER: Entity Resolution using Zero Labeled Examples	2020	SIGMOD	7.4841763e-05

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