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: 5609
Venue: SIGMOD
Year: 2019
Pagerank: 5.3154329e-05
Overall Rank: 5,817 | 59.58%
DOI: 10.1145/3299869.3300077

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,645	Camel: Managing Data for Efficient Stream Learning	2022	SIGMOD	8.3768838e-05
4,787	The Relational Data Borg is Learning	2020	VLDB	5.9168117e-05
5,128	Efficient Join Synopsis Maintenance for Data Warehouse	2020	SIGMOD	5.6728511e-05
8,096	Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications	2023	SIGMOD	4.583522e-05
8,782	AWARE: Workload-aware, Redundancy-exploiting Linear Algebra	2023	SIGMOD	4.4478585e-05
10,303	Morphing-based Compression for Data-centric ML Pipelines	2026	VLDB	4.1905499e-05
10,444	Demo of Kishu: Time-Traveling for Computational Notebooks	2025	SIGMOD	4.1905499e-05
11,196	A Step Toward Deep Online Aggregation	2023	SIGMOD	4.1905499e-05

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
3	Pig Latin: A Not-So-Foreign Language for Data Processing	2008	SIGMOD	0.0024217964
139	The MADlib Analytics Library or MAD Skills, the SQL	2012	VLDB	0.00042320525
212	Join Synopses for Approximate Query Answering	1999	SIGMOD	0.00033997204
317	NoScope: Optimizing Neural Network Queries over Video at Scale	2017	VLDB	0.0002798145
431	The Aqua Approximate Query Answering System	1999	SIGMOD	0.00023397171
557	SystemML: Declarative Machine Learning on Spark	2016	VLDB	0.00020186115
668	Incremental Knowledge Base Construction Using DeepDive	2015	VLDB	0.00018428925
758	Materialization Optimizations for Feature Selection Workloads	2014	SIGMOD	0.00017053915
832	Learning Linear Regression Models over Factorized Joins	2016	SIGMOD	0.00016089705
901	To Join or Not to Join? Thinking Twice about Joins before Feature Selection	2016	SIGMOD	0.00015462938
941	Wander Join: Online Aggregation via Random Walks	2016	SIGMOD	0.00015147831
1,044	DimmWitted: A Study of Main-Memory Statistical Analytics	2014	VLDB	0.00014465007
1,161	VerdictDB: Universalizing Approximate Query Processing	2018	SIGMOD	0.00013579831
1,172	Learning Generalized Linear Models Over Normalized Data	2015	SIGMOD	0.00013504249
1,257	Dynamic Sample Selection for Approximate Query Processing	2003	SIGMOD	0.00013002384
1,320	Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters	2016	SIGMOD	0.00012606067
1,867	Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems	2014	SIGMOD	0.00010264932
1,946	Heterogeneity-aware Distributed Parameter Servers	2017	SIGMOD	9.9983926e-05
1,970	Compressed Linear Algebra for Large-Scale Machine Learning	2016	VLDB	9.9024431e-05
2,424	The Analytical Bootstrap: a New Method for Fast Error Estimation in Approximate Query Processing	2014	SIGMOD	8.8415494e-05
2,589	Database Learning: Toward a Database that Becomes Smarter Every Time	2017	SIGMOD	8.4868591e-05
2,919	Brainwash: A Data System for Feature Engineering	2013	CIDR	7.9017482e-05
3,808	Turbo-Charging Estimate Convergence in DBO	2009	VLDB	6.7416988e-05
5,218	Neighbor-Sensitive Hashing	2016	VLDB	5.6204105e-05
6,402	Approximate Query Engines: Commercial Challenges and Research Opportunities	2017	SIGMOD	5.0725227e-05
9,471	DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions	2018	SIGMOD	4.3300949e-05
11,717	Demonstration of VerdictDB, the Platform-Independent AQP System	2018	SIGMOD	4.1905499e-05

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