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BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees

Summary: BlinkML enables fast, approximate ML training with probabilistic guarantees that the approximate model matches full-model predictions. Supports any MLE-based model (GLMs, PPCA) and uses error-bounded sampling to deliver 6x–629x speedups while preserving decisions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5670
Venue
SIGMOD
Year
2019
Pagerank
6.0892672e-05
Overall Rank
5,785 | 60.32%
DOI
10.1145/3299869.3300077

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{park_sigmod19,
        title = {{BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees}},
        author = {Park, Yongjoo and Qing, Jingyi and Shen, Xiaoyang and Mozafari, Barzan},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3300077},
        url = {https://dl.acm.org/doi/10.1145/3299869.3300077},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 27 of 27 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
106 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00033539462
136 Join Synopses for Approximate Query Answering 1999 SIGMOD 0.00030123303
284 NoScope: Optimizing Neural Network Queries over Video at Scale 2017 VLDB 0.00022370521
327 The Aqua Approximate Query Answering System 1999 SIGMOD 0.00021091539
415 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.0001888524
536 Learning Linear Regression Models over Factorized Joins 2016 SIGMOD 0.0001693369
579 Incremental Knowledge Base Construction Using DeepDive 2015 VLDB 0.00016217563
593 Wander Join: Online Aggregation via Random Walks 2016 SIGMOD 0.00016027871
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
772 VerdictDB: Universalizing Approximate Query Processing 2018 SIGMOD 0.00014147905
819 Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters 2016 SIGMOD 0.00013815639
909 Dynamic Sample Selection for Approximate Query Processing 2003 SIGMOD 0.00013291205
1,150 DimmWitted: A Study of Main-Memory Statistical Analytics 2014 VLDB 0.00011943462
1,401 Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems 2014 SIGMOD 0.00010889902
1,644 Compressed Linear Algebra for Large-Scale Machine Learning 2016 VLDB 0.00010132912
1,872 The Analytical Bootstrap: a New Method for Fast Error Estimation in Approximate Query Processing 2014 SIGMOD 9.5759874e-05
1,995 Database Learning: Toward a Database that Becomes Smarter Every Time 2017 SIGMOD 9.3403665e-05
2,162 Heterogeneity-aware Distributed Parameter Servers 2017 SIGMOD 9.0581831e-05
2,604 Brainwash: A Data System for Feature Engineering 2013 CIDR 8.3524514e-05
3,157 Turbo-Charging Estimate Convergence in DBO 2009 VLDB 7.6911286e-05
4,927 Neighbor-Sensitive Hashing 2016 VLDB 6.4426453e-05
5,906 Approximate Query Engines: Commercial Challenges and Research Opportunities 2017 SIGMOD 6.0457047e-05
9,672 DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions 2018 SIGMOD 5.2386185e-05
11,916 Demonstration of VerdictDB, the Platform-Independent AQP System 2018 SIGMOD 5.093636e-05
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