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HELIX: Holistic Optimization for Accelerating Iterative Machine Learning

Summary: Holistic optimization across iterative ML workflows: caching/reusing intermediates or recomputing them via a Scala DSL for data prep, model spec, and learning. Reuse is a MAX-FLOW problem; caching is NP-hard but mitigated by lightweight heuristics, delivering up to 19x speedups over DeepDive/KeystoneML on NLP, CV, and science tasks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11979
Venue
VLDB
Year
2019
Pagerank
0.00010955907
Overall Rank
1,666 | 88.43%
DOI
10.14778/3297753.3297763

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 29 of 29 citing papers.

Rank Citing Paper Year Venue Pagerank
1,427 Towards Scalable Dataframe Systems 2020 VLDB 0.00012033503
2,122 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.4905306e-05
2,456 Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities 2021 SIGMOD 8.7649259e-05
3,027 Helix: Accelerating Human-in-the-loop Machine Learning 2018 VLDB 7.68624e-05
3,393 Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows 2022 VLDB 7.1415762e-05
3,623 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 6.9017341e-05
4,601 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.05274e-05
4,779 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 5.9259373e-05
4,866 OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning 2021 SIGMOD 5.8620848e-05
4,962 Doing More with Less: Characterizing Dataset Downsampling for AutoML 2021 VLDB 5.7979872e-05
6,004 DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation 2022 VLDB 5.2365238e-05
6,061 Optimizing Machine Learning Workloads in Collaborative Environments 2020 SIGMOD 5.2270653e-05
6,464 Materialization and Reuse Optimizations for Production Data Science Pipelines 2022 SIGMOD 5.0471003e-05
6,735 Hindsight Logging for Model Training 2021 VLDB 4.9420202e-05
7,481 Provenance-Enabled Explainable AI 2024 SIGMOD 4.7135369e-05
7,656 Nautilus: An Optimized System for Deep Transfer Learning over Evolving Training Datasets 2022 SIGMOD 4.6826896e-05
7,702 ExDRa: Exploratory Data Science on Federated Raw Data 2021 SIGMOD 4.6689015e-05
8,096 Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications 2023 SIGMOD 4.583522e-05
8,253 Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines 2023 SIGMOD 4.5444167e-05
8,515 UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads 2022 VLDB 4.4901466e-05
9,226 Intermittent Human-in-the-Loop Model Selection using Cerebro: A Demonstration 2021 VLDB 4.3656789e-05
9,349 Hippo: Sharing Computations in Hyper-Parameter Optimization 2022 VLDB 4.3497707e-05
9,787 The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format 2024 SIGMOD 4.2799988e-05
9,911 ElasticNotebook: Enabling Live Migration for Computational Notebooks 2024 VLDB 4.2524493e-05
10,252 CAPS: Cost-Aware ML Pipeline Selection 2026 VLDB 4.1905499e-05
10,350 Flow with FlorDB: Incremental Context Maintenance for the Machine Learning Lifecycle 2025 CIDR 4.1905499e-05
10,479 Alsatian: Optimizing Model Search for Deep Transfer Learning 2025 SIGMOD 4.1905499e-05
11,480 Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study 2021 SIGMOD 4.1905499e-05
11,696 Enabling Data Science for the Majority 2019 VLDB 4.1905499e-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
3 Pig Latin: A Not-So-Foreign Language for Data Processing 2008 SIGMOD 0.0024217964
39 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.00075263552
66 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00061707583
201 LINQ: Reconciling Objects, Relations and XML in the .NET Framework 2006 SIGMOD 0.00034903121
252 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00030532082
758 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00017053915
901 To Join or Not to Join? Thinking Twice about Joins before Feature Selection 2016 SIGMOD 0.00015462938
1,172 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00013504249
1,283 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00012826013
1,412 VisTrails: Visualization meets Data Management 2006 SIGMOD 0.00012112718
1,751 Weld: A Common Runtime for High Performance Data Analytics 2017 CIDR 0.00010673874
1,875 An Architecture for Compiling UDF-centric Workflows 2015 VLDB 0.00010243959
1,921 Selecting Subexpressions to Materialize at Datacenter Scale 2018 VLDB 0.00010085899
2,157 MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis 2018 SIGMOD 9.4153917e-05
2,211 ReStore: Reusing Results of MapReduce Jobs 2012 VLDB 9.2823037e-05
2,919 Brainwash: A Data System for Feature Engineering 2013 CIDR 7.9017482e-05
3,027 Helix: Accelerating Human-in-the-loop Machine Learning 2018 VLDB 7.68624e-05
4,195 F: Regression Models over Factorized Views 2016 VLDB 6.3635322e-05
4,859 The "Big Data" Ecosystem at LinkedIn 2013 SIGMOD 5.8680444e-05
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6,061 Optimizing Machine Learning Workloads in Collaborative Environments 2020 SIGMOD 5.2270653e-05
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6,464 Materialization and Reuse Optimizations for Production Data Science Pipelines 2022 SIGMOD 5.0471003e-05
4,779 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 5.9259373e-05
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3,027 Helix: Accelerating Human-in-the-loop Machine Learning 2018 VLDB 7.68624e-05