Relation-Aware Bayesian Optimization of DBMS Configurations Guided by Affinity Scores
Fuente:
arXiv
Saved in:
| Main Authors: | Kwon, Sein, Baek, Seulgi, Yang, Hyunseo, Jo, Youngwan, Park, Sanghyun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LatentTune: Efficient Tuning of High Dimensional Database Parameters via Latent Representation Learning
by: Kwon, Sein, et al.
Published: (2026)
by: Kwon, Sein, et al.
Published: (2026)
Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration
by: Choi, Seungyeon, et al.
Published: (2025)
by: Choi, Seungyeon, et al.
Published: (2025)
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)
Adversarial Query Synthesis via Bayesian Optimization
by: Tao, Jeffrey, et al.
Published: (2026)
by: Tao, Jeffrey, et al.
Published: (2026)
Optimizing LLM Queries in Relational Data Analytics Workloads
by: Liu, Shu, et al.
Published: (2024)
by: Liu, Shu, et al.
Published: (2024)
Advanced Knowledge Transfer: Refined Feature Distillation for Zero-Shot Quantization in Edge Computing
by: Hong, Inpyo, et al.
Published: (2024)
by: Hong, Inpyo, et al.
Published: (2024)
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)
Detecting Logic Bugs of Join Optimizations in DBMS
by: Tang, Xiu, et al.
Published: (2026)
by: Tang, Xiu, et al.
Published: (2026)
Conformance Testing of Relational DBMS Against SQL Specifications
by: Liu, Shuang, et al.
Published: (2024)
by: Liu, Shuang, et al.
Published: (2024)
Threshold-Independent Fair Matching through Score Calibration
by: Moslemi, Mohammad Hossein, et al.
Published: (2024)
by: Moslemi, Mohammad Hossein, et al.
Published: (2024)
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)
Optimizing Context-Enhanced Relational Joins
by: Sanca, Viktor, et al.
Published: (2023)
by: Sanca, Viktor, et al.
Published: (2023)
MICRO: A Lightweight Middleware for Optimizing Cross-store Cross-model Graph-Relation Joins [Technical Report]
by: Zheng, Xiuwen, et al.
Published: (2026)
by: Zheng, Xiuwen, et al.
Published: (2026)
IRG: Modular Synthetic Relational Database Generation with Complex Relational Schemas
by: Li, Jiayu, et al.
Published: (2023)
by: Li, Jiayu, et al.
Published: (2023)
L2T-Tune:LLM-Guided Hybrid Database Tuning with LHS and TD3
by: Yang, Xinyue, et al.
Published: (2025)
by: Yang, Xinyue, et al.
Published: (2025)
Gaussian Relational Graph Transformer
by: Ding, Zezhong, et al.
Published: (2026)
by: Ding, Zezhong, et al.
Published: (2026)
SchemaDB: Structures in Relational Datasets
by: Christopher, Cody James, et al.
Published: (2021)
by: Christopher, Cody James, et al.
Published: (2021)
Observatory: Characterizing Embeddings of Relational Tables
by: Cong, Tianji, et al.
Published: (2023)
by: Cong, Tianji, et al.
Published: (2023)
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM
by: Ahn, Sunghyun, et al.
Published: (2025)
by: Ahn, Sunghyun, et al.
Published: (2025)
Skeleton-Guided Learning for Shortest Path Search
by: Liu, Tiantian, et al.
Published: (2025)
by: Liu, Tiantian, et al.
Published: (2025)
Database Views as Explanations for Relational Deep Learning
by: Rissaki, Agapi, et al.
Published: (2025)
by: Rissaki, Agapi, et al.
Published: (2025)
Benchmarking the Fidelity and Utility of Synthetic Relational Data
by: Hudovernik, Valter, et al.
Published: (2024)
by: Hudovernik, Valter, et al.
Published: (2024)
Personalized Product Assortment with Real-time 3D Perception and Bayesian Payoff Estimation
by: Jenkins, Porter, et al.
Published: (2024)
by: Jenkins, Porter, et al.
Published: (2024)
Task-Agnostic Contrastive Pretraining for Relational Deep Learning
by: Peleška, Jakub, et al.
Published: (2025)
by: Peleška, Jakub, et al.
Published: (2025)
REDELEX: A Framework for Relational Deep Learning Exploration
by: Peleška, Jakub, et al.
Published: (2025)
by: Peleška, Jakub, et al.
Published: (2025)
Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets
by: Qiao, Lianpeng, et al.
Published: (2025)
by: Qiao, Lianpeng, et al.
Published: (2025)
A Self-Explainable Heterogeneous GNN for Relational Deep Learning
by: Ferrini, Francesco, et al.
Published: (2024)
by: Ferrini, Francesco, et al.
Published: (2024)
SQL-of-Thought: Multi-agentic Text-to-SQL with Guided Error Correction
by: Chaturvedi, Saumya, et al.
Published: (2025)
by: Chaturvedi, Saumya, et al.
Published: (2025)
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
by: Wang, Minjie, et al.
Published: (2024)
by: Wang, Minjie, et al.
Published: (2024)
Relational Database Distillation: From Structured Tables to Condensed Graph Data
by: Gao, Xinyi, et al.
Published: (2025)
by: Gao, Xinyi, et al.
Published: (2025)
CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases
by: Chronis, Yannis, et al.
Published: (2024)
by: Chronis, Yannis, 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)
Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases
by: Li, Ning, et al.
Published: (2025)
by: Li, Ning, et al.
Published: (2025)
Reducing Biases in Record Matching Through Scores Calibration
by: Moslemi, Mohammad Hossein, et al.
Published: (2024)
by: Moslemi, Mohammad Hossein, et al.
Published: (2024)
SoftPipe: A Soft-Guided Reinforcement Learning Framework for Automated Data Preparation
by: Chang, Jing, et al.
Published: (2025)
by: Chang, Jing, et al.
Published: (2025)
LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction
by: Chang, Jing, et al.
Published: (2025)
by: Chang, Jing, et al.
Published: (2025)
The Unreasonable Effectiveness of LLMs for Query Optimization
by: Akioyamen, Peter, et al.
Published: (2024)
by: Akioyamen, Peter, et al.
Published: (2024)
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data
by: Papadias, Serafeim, et al.
Published: (2026)
by: Papadias, Serafeim, et al.
Published: (2026)
Low Rank Learning for Offline Query Optimization
by: Yi, Zixuan, et al.
Published: (2025)
by: Yi, Zixuan, et al.
Published: (2025)
The Case for Instance-Optimized LLMs in OLAP Databases
by: Mohammadi, Bardia, et al.
Published: (2025)
by: Mohammadi, Bardia, et al.
Published: (2025)
Similar Items
-
LatentTune: Efficient Tuning of High Dimensional Database Parameters via Latent Representation Learning
by: Kwon, Sein, et al.
Published: (2026) -
Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration
by: Choi, Seungyeon, et al.
Published: (2025) -
Improving DBMS Scheduling Decisions with Fine-grained Performance Prediction on Concurrent Queries -- Extended
by: Wu, Ziniu, et al.
Published: (2025) -
Adversarial Query Synthesis via Bayesian Optimization
by: Tao, Jeffrey, et al.
Published: (2026) -
Optimizing LLM Queries in Relational Data Analytics Workloads
by: Liu, Shu, et al.
Published: (2024)