| 834 |
Learning Linear Regression Models over Factorized Joins |
2016 |
SIGMOD |
0.00016135159 |
| 903 |
To Join or Not to Join? Thinking Twice about Joins before Feature Selection |
2016 |
SIGMOD |
0.0001547016 |
| 1,279 |
Towards Linear Algebra over Normalized Data |
2017 |
VLDB |
0.00012868394 |
| 1,369 |
Random Sampling over Joins Revisited |
2018 |
SIGMOD |
0.00012339777 |
| 1,532 |
Data Management in Machine Learning: Challenges, Techniques, and Systems |
2017 |
SIGMOD |
0.00011472681 |
| 1,666 |
HELIX: Holistic Optimization for Accelerating Iterative Machine Learning |
2019 |
VLDB |
0.0001096361 |
| 1,942 |
Heterogeneity-aware Distributed Parameter Servers |
2017 |
SIGMOD |
0.00010012691 |
| 2,122 |
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle |
2020 |
CIDR |
9.4989076e-05 |
| 2,154 |
DIFF: A Relational Interface for Large-Scale Data Explanation |
2019 |
VLDB |
9.4208667e-05 |
| 2,194 |
Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra |
2019 |
SIGMOD |
9.3138337e-05 |
| 2,350 |
An Intermediate Representation for Optimizing Machine Learning Pipelines |
2019 |
VLDB |
8.9788641e-05 |
| 2,886 |
VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale |
2020 |
SIGMOD |
7.9612767e-05 |
| 3,006 |
On Functional Aggregate Queries with Additive Inequalities |
2019 |
PODS |
7.7299363e-05 |
| 3,277 |
A Layered Aggregate Engine for Analytics Workloads |
2019 |
SIGMOD |
7.2871625e-05 |
| 3,407 |
End-to-end Optimization of Machine Learning Prediction Queries |
2022 |
SIGMOD |
7.1295646e-05 |
| 3,948 |
A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics |
2018 |
VLDB |
6.5959084e-05 |
| 3,958 |
MLog: Towards Declarative In-Database Machine Learning |
2017 |
VLDB |
6.5897636e-05 |
| 4,033 |
In-RDBMS Hardware Acceleration of Advanced Analytics |
2018 |
VLDB |
6.5113267e-05 |
| 4,129 |
Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? |
2018 |
VLDB |
6.428887e-05 |
| 4,197 |
Incremental View Maintenance with Triple Lock Factorization Benefits |
2018 |
SIGMOD |
6.367895e-05 |
| 4,395 |
Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models |
2017 |
VLDB |
6.2244283e-05 |
| 4,402 |
Smurf: Self-Service String Matching Using Random Forests |
2019 |
VLDB |
6.2195162e-05 |
| 4,505 |
SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning |
2017 |
CIDR |
6.1327108e-05 |
| 4,725 |
GeCo: Quality Counterfactual Explanations in Real Time |
2021 |
VLDB |
5.9697637e-05 |
| 4,785 |
Demonstration of Santoku: Optimizing Machine Learning over Normalized Data |
2015 |
VLDB |
5.9236989e-05 |
| 4,787 |
The Relational Data Borg is Learning |
2020 |
VLDB |
5.9224501e-05 |
| 5,084 |
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle |
2022 |
SIGMOD |
5.7091191e-05 |
| 5,806 |
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees |
2019 |
SIGMOD |
5.3200643e-05 |
| 5,855 |
Optimal Join Algorithms Meet Top-k |
2020 |
SIGMOD |
5.3006096e-05 |
| 5,951 |
PGMJoins: Random Join Sampling with Graphical Models |
2021 |
SIGMOD |
5.2592385e-05 |
| 5,962 |
Beyond Equi-joins: Ranking, Enumeration and Factorization |
2021 |
VLDB |
5.2536266e-05 |
| 6,156 |
Optimizing Tensor Programs on Flexible Storage |
2023 |
SIGMOD |
5.1802603e-05 |
| 6,330 |
Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse |
2018 |
VLDB |
5.1077416e-05 |
| 6,404 |
ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation |
2019 |
VLDB |
5.0786954e-05 |
| 6,538 |
Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent |
2019 |
SIGMOD |
5.023239e-05 |
| 6,986 |
A Cost-based Optimizer for Gradient Descent Optimization |
2017 |
SIGMOD |
4.8727048e-05 |
| 7,179 |
Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning |
2023 |
VLDB |
4.8078895e-05 |
| 7,664 |
Schema Independent Relational Learning |
2017 |
SIGMOD |
4.6857329e-05 |
| 8,279 |
Galley: Modern Query Optimization for Sparse Tensor Programs |
2025 |
SIGMOD |
4.5435639e-05 |
| 8,595 |
Towards A Polyglot Framework for Factorized ML |
2021 |
VLDB |
4.4889397e-05 |
| 8,786 |
AWARE: Workload-aware, Redundancy-exploiting Linear Algebra |
2023 |
SIGMOD |
4.4521262e-05 |
| 8,864 |
Cerebro: A Layered Data Platform for Scalable Deep Learning |
2021 |
CIDR |
4.4326439e-05 |
| 9,222 |
Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning |
2021 |
VLDB |
4.3698672e-05 |
| 9,437 |
BlockJoin: Efficient Matrix Partitioning Through Joins |
2017 |
VLDB |
4.3425552e-05 |
| 9,856 |
In-Database Data Imputation |
2024 |
SIGMOD |
4.269353e-05 |
| 10,003 |
Clustering with Set Outliers and Applications in Relational Clustering |
2026 |
PODS |
4.1945683e-05 |
| 10,177 |
InferF: Declarative Factorization of AI/ML Inferences over Joins |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,291 |
Morphing-based Compression for Data-centric ML Pipelines |
2026 |
VLDB |
4.1945683e-05 |
| 10,499 |
Privacy and Accuracy-Aware AI/ML Model Deduplication |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,924 |
Improved Approximation Algorithms for Relational Clustering |
2024 |
PODS |
4.1945683e-05 |