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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
0.0001021302
Overall Rank
1,568 | 89.46%
DOI
10.14778/3297753.3297763

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
1,369 Towards Scalable Dataframe Systems 2020 VLDB 0.00010899832
1,668 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.9371612e-05
2,187 Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities 2021 SIGMOD 8.8896655e-05
2,834 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 7.9560627e-05
3,098 Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows 2022 VLDB 7.6517623e-05
3,167 HELIX: Accelerating Human-in-the-loop Machine Learning 2018 VLDB 7.5728577e-05
4,095 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.8095767e-05
4,334 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 6.6569314e-05
4,719 OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning 2021 SIGMOD 6.4548076e-05
5,572 Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications 2023 SIGMOD 6.0802555e-05
5,792 Optimizing Machine Learning Workloads in Collaborative Environments 2020 SIGMOD 5.99349e-05
5,933 Doing More with Less: Characterizing Dataset Downsampling for AutoML 2021 VLDB 5.942188e-05
6,217 Materialization and Reuse Optimizations for Production Data Science Pipelines 2022 SIGMOD 5.8474357e-05
6,652 Hindsight Logging for Model Training 2021 VLDB 5.7202005e-05
6,662 UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads 2022 VLDB 5.7171651e-05
7,100 DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation 2022 VLDB 5.601767e-05
7,538 Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines 2023 SIGMOD 5.4995874e-05
7,809 Nautilus: An Optimized System for Deep Transfer Learning over Evolving Training Datasets 2022 SIGMOD 5.4490255e-05
7,839 ExDRa: Exploratory Data Science on Federated Raw Data 2021 SIGMOD 5.4432099e-05
8,076 Provenance-Enabled Explainable AI 2024 SIGMOD 5.3942942e-05
9,557 Intermittent Human-in-the-Loop Model Selection using Cerebro: A Demonstration 2021 VLDB 5.1572248e-05
9,709 Hippo: Sharing Computations in Hyper-Parameter Optimization 2022 VLDB 5.1372107e-05
9,996 Flow with FlorDB: Incremental Context Maintenance for the Machine Learning Lifecycle 2025 CIDR 5.0979044e-05
10,043 The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format 2024 SIGMOD 5.0921006e-05
10,279 ElasticNotebook: Enabling Live Migration for Computational Notebooks 2024 VLDB 5.0455234e-05
10,722 CAPS: Cost-Aware ML Pipeline Selection 2026 VLDB 4.9793485e-05
10,898 stratum: A System Infrastructure for Massive Agent-Centric ML Workloads 2026 VLDB 4.9793485e-05
11,176 Alsatian: Optimizing Model Search for Deep Transfer Learning 2025 SIGMOD 4.9793485e-05
11,981 Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study 2021 SIGMOD 4.9793485e-05
12,186 Enabling Data Science for the Majority 2019 VLDB 4.9793485e-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 0.001052036
22 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.00055962491
23 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00055406774
205 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00025181304
292 LINQ: Reconciling Objects, Relations and XML in the .NET Framework 2006 SIGMOD 0.00021947834
654 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.0001510357
730 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00014406936
777 To Join or Not to Join? Thinking Twice about Joins before Feature Selection 2016 SIGMOD 0.00014054709
1,193 Weld: A Common Runtime for High Performance Data Analytics 2017 CIDR 0.0001158809
1,256 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00011314687
1,444 An Architecture for Compiling UDF-centric Workflows 2015 VLDB 0.0001063181
1,502 VisTrails: Visualization meets Data Management 2006 SIGMOD 0.00010456416
1,691 MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis 2018 SIGMOD 9.8570722e-05
1,745 Selecting Subexpressions to Materialize at Datacenter Scale 2018 VLDB 9.7343818e-05
1,924 ReStore: Reusing Results of MapReduce Jobs 2012 VLDB 9.3687009e-05
2,586 Brainwash: A Data System for Feature Engineering 2013 CIDR 8.2560072e-05
3,167 HELIX: Accelerating Human-in-the-loop Machine Learning 2018 VLDB 7.5728577e-05
3,373 F: Regression Models over Factorized Views 2016 VLDB 7.3661025e-05
4,691 The "Big Data" Ecosystem at LinkedIn 2013 SIGMOD 6.4685355e-05
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