| 154 |
Neo: A Learned Query Optimizer |
2019 |
VLDB |
0.00028726181 |
| 378 |
Bao: Making Learned Query Optimization Practical |
2021 |
SIGMOD |
0.00019638121 |
| 563 |
Plan-Structured Deep Neural Network Models for Query Performance Prediction |
2019 |
VLDB |
0.0001650812 |
| 847 |
Benchmarking Learned Indexes |
2021 |
VLDB |
0.0001365768 |
| 1,121 |
ARDA: Automatic Relational Data Augmentation for Machine Learning |
2020 |
VLDB |
0.00012093059 |
| 1,279 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00011361878 |
| 1,876 |
Flow-Loss: Learning Cardinality Estimates That Matter |
2021 |
VLDB |
9.5717543e-05 |
| 2,958 |
WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases |
2016 |
VLDB |
7.9197796e-05 |
| 3,051 |
Towards a Hands-Free Query Optimizer through Deep Learning |
2019 |
CIDR |
7.8121919e-05 |
| 3,152 |
CDFShop: Exploring and Optimizing Learned Index Structures |
2020 |
SIGMOD |
7.7003613e-05 |
| 3,338 |
Robust Query Driven Cardinality Estimation under Changing Workloads |
2023 |
VLDB |
7.5068221e-05 |
| 3,809 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift |
2023 |
SIGMOD |
7.1074195e-05 |
| 4,470 |
Kepler: Robust Learning for Faster Parametric Query Optimization |
2023 |
SIGMOD |
6.6817353e-05 |
| 4,929 |
AutoSteer: Learned Query Optimization for Any SQL Database |
2023 |
VLDB |
6.4423294e-05 |
| 4,987 |
Releasing Cloud Databases from the Chains of Performance Prediction Models |
2017 |
CIDR |
6.4112736e-05 |
| 5,059 |
Steering Query Optimizers: A Practical Take on Big Data Workloads |
2021 |
SIGMOD |
6.3807509e-05 |
| 5,072 |
NashDB: An End-to-End Economic Method for Elastic Database Fragmentation, Replication, and Provisioning |
2018 |
SIGMOD |
6.3753956e-05 |
| 5,107 |
Stage: Query Execution Time Prediction in Amazon Redshift |
2024 |
SIGMOD |
6.3623786e-05 |
| 8,163 |
Learned Offline Query Planning via Bayesian Optimization |
2025 |
SIGMOD |
5.4751517e-05 |
| 8,323 |
SageDB: An Instance-Optimized Data Analytics System |
2022 |
VLDB |
5.4539294e-05 |
| 9,601 |
Low Rank Learning for Offline Query Optimization |
2025 |
SIGMOD |
5.2487799e-05 |
| 9,846 |
QO-Insight: Inspecting Steered Query Optimizers |
2023 |
VLDB |
5.2094004e-05 |
| 9,958 |
A Practical Theory of Generalization in Selectivity Learning |
2025 |
VLDB |
5.1879626e-05 |
| 10,128 |
Survivorship Bias in Industrial Database Workloads |
2026 |
CIDR |
5.093636e-05 |
| 10,338 |
Adaptive Sharding in Untrusted Environments |
2026 |
SIGMOD |
5.093636e-05 |
| 10,401 |
SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer |
2026 |
SIGMOD |
5.093636e-05 |
| 10,593 |
Global Hash Tables Strike Back! An Analysis of Parallel GROUP BY Aggregation |
2026 |
VLDB |
5.093636e-05 |
| 10,733 |
ScaleLLM: A Technique for Scalable LLM-augmented Data Systems |
2025 |
SIGMOD |
5.093636e-05 |
| 10,875 |
Data-Agnostic Cardinality Learning from Imperfect Workloads |
2025 |
VLDB |
5.093636e-05 |
| 11,210 |
Towards Full Stack Adaptivity in Permissioned Blockchains |
2024 |
VLDB |
5.093636e-05 |
| 11,436 |
AdaChain: A Learned Adaptive Blockchain |
2023 |
VLDB |
5.093636e-05 |
| 11,872 |
NashDB: Fragmentation, Replication, and Provisioning using Economic Methods |
2019 |
VLDB |
5.093636e-05 |
| 13,364 |
BFTGym: An Interactive Playground for BFT Protocols |
2024 |
VLDB |
- |