| 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 |
| 1,283 |
Towards Linear Algebra over Normalized Data |
2017 |
VLDB |
0.00012826013 |
| 1,372 |
Random Sampling over Joins Revisited |
2018 |
SIGMOD |
0.0001233325 |
| 1,534 |
Data Management in Machine Learning: Challenges, Techniques, and Systems |
2017 |
SIGMOD |
0.00011462072 |
| 1,666 |
HELIX: Holistic Optimization for Accelerating Iterative Machine Learning |
2019 |
VLDB |
0.00010955907 |
| 1,946 |
Heterogeneity-aware Distributed Parameter Servers |
2017 |
SIGMOD |
9.9983926e-05 |
| 2,122 |
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle |
2020 |
CIDR |
9.4905306e-05 |
| 2,158 |
DIFF: A Relational Interface for Large-Scale Data Explanation |
2019 |
VLDB |
9.4117885e-05 |
| 2,197 |
Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra |
2019 |
SIGMOD |
9.3117431e-05 |
| 2,355 |
An Intermediate Representation for Optimizing Machine Learning Pipelines |
2019 |
VLDB |
8.9727612e-05 |
| 2,892 |
VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale |
2020 |
SIGMOD |
7.9570135e-05 |
| 3,009 |
On Functional Aggregate Queries with Additive Inequalities |
2019 |
PODS |
7.7230513e-05 |
| 3,280 |
A Layered Aggregate Engine for Analytics Workloads |
2019 |
SIGMOD |
7.2813732e-05 |
| 3,409 |
End-to-end Optimization of Machine Learning Prediction Queries |
2022 |
SIGMOD |
7.1240791e-05 |
| 3,953 |
A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics |
2018 |
VLDB |
6.5896733e-05 |
| 3,961 |
MLog: Towards Declarative In-Database Machine Learning |
2017 |
VLDB |
6.5824022e-05 |
| 4,040 |
In-RDBMS Hardware Acceleration of Advanced Analytics |
2018 |
VLDB |
6.5052227e-05 |
| 4,123 |
Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? |
2018 |
VLDB |
6.4290005e-05 |
| 4,200 |
Incremental View Maintenance with Triple Lock Factorization Benefits |
2018 |
SIGMOD |
6.3618329e-05 |
| 4,394 |
Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models |
2017 |
VLDB |
6.2173726e-05 |
| 4,397 |
Smurf: Self-Service String Matching Using Random Forests |
2019 |
VLDB |
6.2142485e-05 |
| 4,508 |
SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning |
2017 |
CIDR |
6.1261819e-05 |
| 4,724 |
GeCo: Quality Counterfactual Explanations in Real Time |
2021 |
VLDB |
5.9640238e-05 |
| 4,787 |
The Relational Data Borg is Learning |
2020 |
VLDB |
5.9168117e-05 |
| 4,794 |
Demonstration of Santoku: Optimizing Machine Learning over Normalized Data |
2015 |
VLDB |
5.910645e-05 |
| 5,817 |
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees |
2019 |
SIGMOD |
5.3154329e-05 |
| 5,845 |
Optimal Join Algorithms Meet Top-k |
2020 |
SIGMOD |
5.3057391e-05 |
| 5,952 |
PGMJoins: Random Join Sampling with Graphical Models |
2021 |
SIGMOD |
5.2547498e-05 |
| 5,963 |
Beyond Equi-joins: Ranking, Enumeration and Factorization |
2021 |
VLDB |
5.2485815e-05 |
| 6,157 |
Optimizing Tensor Programs on Flexible Storage |
2023 |
SIGMOD |
5.1755682e-05 |
| 6,329 |
Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse |
2018 |
VLDB |
5.1030159e-05 |
| 6,400 |
ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation |
2019 |
VLDB |
5.0739311e-05 |
| 6,535 |
Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent |
2019 |
SIGMOD |
5.0184189e-05 |
| 6,573 |
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle |
2022 |
SIGMOD |
5.0009513e-05 |
| 6,984 |
A Cost-based Optimizer for Gradient Descent Optimization |
2017 |
SIGMOD |
4.8680519e-05 |
| 7,180 |
Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning |
2023 |
VLDB |
4.8032775e-05 |
| 7,663 |
Schema Independent Relational Learning |
2017 |
SIGMOD |
4.6812239e-05 |
| 8,274 |
Galley: Modern Query Optimization for Sparse Tensor Programs |
2025 |
SIGMOD |
4.5392079e-05 |
| 8,593 |
Towards A Polyglot Framework for Factorized ML |
2021 |
VLDB |
4.4846362e-05 |
| 8,782 |
AWARE: Workload-aware, Redundancy-exploiting Linear Algebra |
2023 |
SIGMOD |
4.4478585e-05 |
| 8,864 |
Cerebro: A Layered Data Platform for Scalable Deep Learning |
2021 |
CIDR |
4.4283952e-05 |
| 9,225 |
Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning |
2021 |
VLDB |
4.3656789e-05 |
| 9,442 |
BlockJoin: Efficient Matrix Partitioning Through Joins |
2017 |
VLDB |
4.3384032e-05 |
| 9,855 |
In-Database Data Imputation |
2024 |
SIGMOD |
4.2652623e-05 |
| 10,002 |
Clustering with Set Outliers and Applications in Relational Clustering |
2026 |
PODS |
4.1905499e-05 |
| 10,177 |
InferF: Declarative Factorization of AI/ML Inferences over Joins |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,303 |
Morphing-based Compression for Data-centric ML Pipelines |
2026 |
VLDB |
4.1905499e-05 |
| 10,508 |
Privacy and Accuracy-Aware AI/ML Model Deduplication |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,928 |
Improved Approximation Algorithms for Relational Clustering |
2024 |
PODS |
4.1905499e-05 |