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HELIX: Holistic Optimization for Accelerating Iterative Machine Learning

Summary: HELIX holistically optimizes iterative ML workflows, using a Scala DSL and selectively caching, reusing, or recomputing intermediates across preprocessing, modeling, and learning iterations. It formulates reuse as MAX-FLOW and caching as NP-hard, with heuristics yielding up to 19× speedups. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h3e9ca743981a1d21
Venue
VLDB
Year
2019
Pagerank
0.00010179013
Overall Rank
1,567 | 89.50%
DOI
10.14778/3297753.3297763
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{xin_vldb19,
        title = {{HELIX: Holistic Optimization for Accelerating Iterative Machine Learning}},
        author = {Xin, Doris and Macke, Stephen and Ma, Litian and Liu, Jialin and Song, Shuchen and Parameswaran, Aditya},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {4},
        pages = {446--460},
        doi = {10.14778/3297753.3297763},
        url = {https://doi.org/10.14778/3297753.3297763},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 30 of 30 citing papers.

Rank Citing Paper Year Venue Pagerank
1,374 Towards Scalable Dataframe Systems 2020 VLDB 0.00010862447
1,616 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 0.00010048776
2,116 Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities 2021 SIGMOD 9.0047829e-05
2,828 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 7.9476509e-05
3,110 Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows 2022 VLDB 7.6228505e-05
3,179 HELIX: Accelerating Human-in-the-loop Machine Learning 2018 VLDB 7.5444132e-05
4,117 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.784003e-05
4,354 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 6.6318545e-05
4,736 OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning 2021 SIGMOD 6.4304185e-05
5,230 Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications 2023 SIGMOD 6.2059854e-05
5,808 Optimizing Machine Learning Workloads in Collaborative Environments 2020 SIGMOD 5.9708628e-05
5,945 Doing More with Less: Characterizing Dataset Downsampling for AutoML 2021 VLDB 5.9197358e-05
6,234 Materialization and Reuse Optimizations for Production Data Science Pipelines 2022 SIGMOD 5.825343e-05
6,667 Hindsight Logging for Model Training 2021 VLDB 5.6985871e-05
6,679 UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads 2022 VLDB 5.6956362e-05
7,125 DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation 2022 VLDB 5.580601e-05
7,558 Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines 2023 SIGMOD 5.4788791e-05
7,833 Nautilus: An Optimized System for Deep Transfer Learning over Evolving Training Datasets 2022 SIGMOD 5.4285082e-05
7,860 ExDRa: Exploratory Data Science on Federated Raw Data 2021 SIGMOD 5.422643e-05
8,101 Provenance-Enabled Explainable AI 2024 SIGMOD 5.3739121e-05
9,590 Intermittent Human-in-the-Loop Model Selection using Cerebro: A Demonstration 2021 VLDB 5.1377385e-05
9,746 Hippo: Sharing Computations in Hyper-Parameter Optimization 2022 VLDB 5.1178001e-05
10,017 The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format 2024 SIGMOD 5.0825892e-05
10,037 Flow with FlorDB: Incremental Context Maintenance for the Machine Learning Lifecycle 2025 CIDR 5.0786422e-05
10,312 ElasticNotebook: Enabling Live Migration for Computational Notebooks 2024 VLDB 5.0264591e-05
10,793 CAPS: Cost-Aware ML Pipeline Selection 2026 VLDB 4.9605343e-05
10,968 stratum: A System Infrastructure for Massive Agent-Centric ML Workloads 2026 VLDB 4.9605343e-05
11,244 Alsatian: Optimizing Model Search for Deep Transfer Learning 2025 SIGMOD 4.9605343e-05
12,031 Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study 2021 SIGMOD 4.9605343e-05
12,235 Enabling Data Science for the Majority 2019 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 19 of 19 cited papers.

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

Rank Cited Paper Year Venue Pagerank
6 Pig Latin: A Not-So-Foreign Language for Data Processing 2008 SIGMOD 0.0010494385
22 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.00056028465
23 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00055523999
200 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00025443474
295 LINQ: Reconciling Objects, Relations and XML in the .NET Framework 2006 SIGMOD 0.00021876398
656 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00015052106
731 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00014363943
783 To Join or Not to Join? Thinking Twice about Joins before Feature Selection 2016 SIGMOD 0.00014015599
1,197 Weld: A Common Runtime for High Performance Data Analytics 2017 CIDR 0.00011548039
1,200 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00011524945
1,449 An Architecture for Compiling UDF-centric Workflows 2015 VLDB 0.00010597074
1,506 VisTrails: Visualization meets Data Management 2006 SIGMOD 0.00010423054
1,699 MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis 2018 SIGMOD 9.8230859e-05
1,757 Selecting Subexpressions to Materialize at Datacenter Scale 2018 VLDB 9.7050769e-05
1,936 ReStore: Reusing Results of MapReduce Jobs 2012 VLDB 9.3375824e-05
2,596 Brainwash: A Data System for Feature Engineering 2013 CIDR 8.2258492e-05
3,179 HELIX: Accelerating Human-in-the-loop Machine Learning 2018 VLDB 7.5444132e-05
3,369 F: Regression Models over Factorized Views 2016 VLDB 7.3507965e-05
4,705 The "Big Data" Ecosystem at LinkedIn 2013 SIGMOD 6.4443767e-05
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