Low Rank Learning for Offline Query Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Yi, Zixuan, Tian, Yao, Ives, Zachary G., Marcus, Ryan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Unreasonable Effectiveness of LLMs for Query Optimization
by: Akioyamen, Peter, et al.
Published: (2024)
by: Akioyamen, Peter, et al.
Published: (2024)
A Practical Theory of Generalization in Selectivity Learning
by: Wu, Peizhi, et al.
Published: (2024)
by: Wu, Peizhi, et al.
Published: (2024)
Data-Agnostic Cardinality Learning from Imperfect Workloads
by: Wu, Peizhi, et al.
Published: (2025)
by: Wu, Peizhi, et al.
Published: (2025)
Adversarial Query Synthesis via Bayesian Optimization
by: Tao, Jeffrey, et al.
Published: (2026)
by: Tao, Jeffrey, et al.
Published: (2026)
Learned Offline Query Planning via Bayesian Optimization
by: Tao, Jeffrey, et al.
Published: (2025)
by: Tao, Jeffrey, et al.
Published: (2025)
Piece of CAKE: Adaptive Execution Engines via Microsecond-Scale Learning
by: Zhao, Zijie, et al.
Published: (2026)
by: Zhao, Zijie, et al.
Published: (2026)
RELOAD: A Robust and Efficient Learned Query Optimizer for Database Systems
by: Lee, Seokwon, et al.
Published: (2026)
by: Lee, Seokwon, et al.
Published: (2026)
RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems
by: Ouyang, Biao, et al.
Published: (2025)
by: Ouyang, Biao, et al.
Published: (2025)
Optimizing LLM Queries in Relational Data Analytics Workloads
by: Liu, Shu, et al.
Published: (2024)
by: Liu, Shu, et al.
Published: (2024)
Incorporating Deep Learning Design in Database Queries
by: Lubarsky, Yuval Lev, et al.
Published: (2026)
by: Lubarsky, Yuval Lev, et al.
Published: (2026)
Training-Free Query Optimization via LLM-Based Plan Similarity
by: Vasilenko, Nikita, et al.
Published: (2025)
by: Vasilenko, Nikita, et al.
Published: (2025)
Is it Bigger than a Breadbox: Efficient Cardinality Estimation for Real World Workloads
by: Yi, Zixuan, et al.
Published: (2025)
by: Yi, Zixuan, et al.
Published: (2025)
Sibyl: Forecasting Time-Evolving Query Workloads
by: Huang, Hanxian, et al.
Published: (2024)
by: Huang, Hanxian, et al.
Published: (2024)
Hydro: Adaptive Query Processing of ML Queries
by: Kakkar, Gaurav Tarlok, et al.
Published: (2024)
by: Kakkar, Gaurav Tarlok, et al.
Published: (2024)
A Declarative Query Language for Scientific Machine Learning
by: Jamil, Hasan M
Published: (2024)
by: Jamil, Hasan M
Published: (2024)
OntoTune: Ontology-Driven Learning for Query Optimization with Convolutional Models
by: Yue, Songhui, et al.
Published: (2025)
by: Yue, Songhui, et al.
Published: (2025)
LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates
by: Quader, Shaikh, et al.
Published: (2024)
by: Quader, Shaikh, et al.
Published: (2024)
Reqo: A Comprehensive Learning-Based Cost Model for Robust and Explainable Query Optimization
by: Chang, Baoming, et al.
Published: (2025)
by: Chang, Baoming, et al.
Published: (2025)
Private Queries with Sigma-Counting
by: Gao, Jun, et al.
Published: (2025)
by: Gao, Jun, et al.
Published: (2025)
Learned Graph Rewriting with Equality Saturation: A New Paradigm in Relational Query Rewrite and Beyond
by: Bărbulescu, George-Octavian, et al.
Published: (2024)
by: Bărbulescu, George-Octavian, et al.
Published: (2024)
Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree
by: Al-Mamun, Abdullah, et al.
Published: (2025)
by: Al-Mamun, Abdullah, et al.
Published: (2025)
Predictive Query-based Pipeline for Graph Data
by: Neto, Plácido A Souza
Published: (2024)
by: Neto, Plácido A Souza
Published: (2024)
ACE: A Cardinality Estimator for Set-Valued Queries
by: Sheng, Yufan, et al.
Published: (2025)
by: Sheng, Yufan, et al.
Published: (2025)
Pre-Execution Query Slot-Time Prediction in Cloud Data Warehouses: A Feature-Scoped Machine Learning Approach
by: Pathak, Prashant Kumar
Published: (2026)
by: Pathak, Prashant Kumar
Published: (2026)
Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows
by: Wei, Lindsey Linxi, et al.
Published: (2024)
by: Wei, Lindsey Linxi, et al.
Published: (2024)
KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction
by: Kim, Jang-Hyun, et al.
Published: (2025)
by: Kim, Jang-Hyun, et al.
Published: (2025)
SemBench: A Benchmark for Semantic Query Processing Engines
by: Lao, Jiale, et al.
Published: (2025)
by: Lao, Jiale, et al.
Published: (2025)
Explainable Disparity Compensation for Efficient Fair Ranking
by: Gale, Abraham, et al.
Published: (2023)
by: Gale, Abraham, et al.
Published: (2023)
Compass: SLO-aware Query Planner for Compound AI Serving at Scale
by: Liu, Banruo, et al.
Published: (2025)
by: Liu, Banruo, et al.
Published: (2025)
Ranking the Top-K Realizations of Stochastically Known Event Logs
by: Lepsien, Arvid, et al.
Published: (2024)
by: Lepsien, Arvid, et al.
Published: (2024)
Improving DBMS Scheduling Decisions with Fine-grained Performance Prediction on Concurrent Queries -- Extended
by: Wu, Ziniu, et al.
Published: (2025)
by: Wu, Ziniu, et al.
Published: (2025)
MaskSearch: Querying Image Masks at Scale
by: He, Dong, et al.
Published: (2023)
by: He, Dong, et al.
Published: (2023)
An LLM-Guided Query-Aware Inference System for GNN Models on Large Knowledge Graphs
by: Afandi, Waleed, et al.
Published: (2026)
by: Afandi, Waleed, et al.
Published: (2026)
From Zero to Hero: Detecting Leaked Data through Synthetic Data Injection and Model Querying
by: Wu, Biao, et al.
Published: (2023)
by: Wu, Biao, et al.
Published: (2023)
GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions
by: Fallahian, Mohammadali, et al.
Published: (2022)
by: Fallahian, Mohammadali, et al.
Published: (2022)
Counting Still Counts: Understanding Neural Complex Query Answering Through Query Relaxation
by: Brunink, Yannick, et al.
Published: (2025)
by: Brunink, Yannick, et al.
Published: (2025)
SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses
by: Wu, Yifan, et al.
Published: (2026)
by: Wu, Yifan, et al.
Published: (2026)
A Learned Cost Model-based Cross-engine Optimizer for SQL Workloads
by: Strausz, András, et al.
Published: (2025)
by: Strausz, András, et al.
Published: (2025)
SemPipes -- Optimizable Semantic Data Operators for Tabular Machine Learning Pipelines
by: Ovcharenko, Olga, et al.
Published: (2026)
by: Ovcharenko, Olga, et al.
Published: (2026)
UQE: A Query Engine for Unstructured Databases
by: Dai, Hanjun, et al.
Published: (2024)
by: Dai, Hanjun, et al.
Published: (2024)
Similar Items
-
The Unreasonable Effectiveness of LLMs for Query Optimization
by: Akioyamen, Peter, et al.
Published: (2024) -
A Practical Theory of Generalization in Selectivity Learning
by: Wu, Peizhi, et al.
Published: (2024) -
Data-Agnostic Cardinality Learning from Imperfect Workloads
by: Wu, Peizhi, et al.
Published: (2025) -
Adversarial Query Synthesis via Bayesian Optimization
by: Tao, Jeffrey, et al.
Published: (2026) -
Learned Offline Query Planning via Bayesian Optimization
by: Tao, Jeffrey, et al.
Published: (2025)