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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
12166
Venue
VLDB
Year
2019
Pagerank
0.00010335423
Overall Rank
1,569 | 89.24%
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 29 of 29 citing papers.

Rank Citing Paper Year Venue Pagerank
1,431 Towards Scalable Dataframe Systems 2020 VLDB 0.00010807221
1,756 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.8172465e-05
2,657 Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities 2021 SIGMOD 8.2887895e-05
2,822 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 8.0898536e-05
3,072 Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows 2022 VLDB 7.7873864e-05
3,146 HELIX: Accelerating Human-in-the-loop Machine Learning 2018 VLDB 7.7091591e-05
4,067 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.9293511e-05
4,240 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 6.809685e-05
4,658 OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning 2021 SIGMOD 6.5817368e-05
5,699 Optimizing Machine Learning Workloads in Collaborative Environments 2020 SIGMOD 6.1170243e-05
5,839 Doing More with Less: Characterizing Dataset Downsampling for AutoML 2021 VLDB 6.0699037e-05
6,309 Materialization and Reuse Optimizations for Production Data Science Pipelines 2022 SIGMOD 5.9189554e-05
6,525 Hindsight Logging for Model Training 2021 VLDB 5.8514923e-05
6,538 UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads 2022 VLDB 5.8477764e-05
6,960 DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation 2022 VLDB 5.7303405e-05
7,232 Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications 2023 SIGMOD 5.6659017e-05
7,395 Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines 2023 SIGMOD 5.6257796e-05
7,656 Nautilus: An Optimized System for Deep Transfer Learning over Evolving Training Datasets 2022 SIGMOD 5.5740571e-05
7,687 ExDRa: Exploratory Data Science on Federated Raw Data 2021 SIGMOD 5.5671645e-05
7,907 Provenance-Enabled Explainable AI 2024 SIGMOD 5.5181056e-05
9,372 Intermittent Human-in-the-Loop Model Selection using Cerebro: A Demonstration 2021 VLDB 5.275595e-05
9,529 Hippo: Sharing Computations in Hyper-Parameter Optimization 2022 VLDB 5.2545475e-05
9,881 The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format 2024 SIGMOD 5.2040783e-05
10,075 ElasticNotebook: Enabling Live Migration for Computational Notebooks 2024 VLDB 5.1613298e-05
10,540 CAPS: Cost-Aware ML Pipeline Selection 2026 VLDB 5.093636e-05
10,635 Flow with FlorDB: Incremental Context Maintenance for the Machine Learning Lifecycle 2025 CIDR 5.093636e-05
10,750 Alsatian: Optimizing Model Search for Deep Transfer Learning 2025 SIGMOD 5.093636e-05
11,674 Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study 2021 SIGMOD 5.093636e-05
11,886 Enabling Data Science for the Majority 2019 VLDB 5.093636e-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 0.0010686205
20 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.00056944564
24 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00054865648
205 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00025235185
292 LINQ: Reconciling Objects, Relations and XML in the .NET Framework 2006 SIGMOD 0.00022259549
640 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00015409494
715 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00014655327
764 To Join or Not to Join? Thinking Twice about Joins before Feature Selection 2016 SIGMOD 0.00014226652
1,229 Weld: A Common Runtime for High Performance Data Analytics 2017 CIDR 0.00011578425
1,235 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00011548457
1,442 An Architecture for Compiling UDF-centric Workflows 2015 VLDB 0.00010778486
1,475 VisTrails: Visualization meets Data Management 2006 SIGMOD 0.00010662942
1,670 MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis 2018 SIGMOD 0.00010045615
1,765 Selecting Subexpressions to Materialize at Datacenter Scale 2018 VLDB 9.8079546e-05
1,883 ReStore: Reusing Results of MapReduce Jobs 2012 VLDB 9.5421713e-05
2,604 Brainwash: A Data System for Feature Engineering 2013 CIDR 8.3524514e-05
3,146 HELIX: Accelerating Human-in-the-loop Machine Learning 2018 VLDB 7.7091591e-05
3,334 F: Regression Models over Factorized Views 2016 VLDB 7.5110164e-05
4,595 The "Big Data" Ecosystem at LinkedIn 2013 SIGMOD 6.6137084e-05
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