Cover Image

Can Uncertainty Quantification Improve Learned Index Benefit Estimation?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Tao, Zou, Zhaonian, Xiong, Hao
Format:	Preprint
Published:	2024
Subjects:	Databases Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Survey of Learned Indexes for the Multi-dimensional Space
by: Al-Mamun, Abdullah, et al.
Published: (2024)

Sig2Model: A Boosting-Driven Model for Updatable Learned Indexes
by: Heidari, Alireza, et al.
Published: (2025)

Beyond Accuracy: An Empirical Study of Uncertainty Estimation in Imputation
by: Hossain, Zarin Tahia, et al.
Published: (2025)

Improving log-based anomaly detection through learned adaptive filter
by: Xiong, Yiyuan, et al.
Published: (2025)

Vbox: Efficient Black-Box Serializability Verification
by: Sun, Weihua, et al.
Published: (2025)

An Empirical Survey and Benchmark of Learned Distance Indexes for Road Networks
by: Choudhary, Gautam, et al.
Published: (2026)

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis
by: Qin, Jiayong, et al.
Published: (2025)

CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases
by: Chronis, Yannis, et al.
Published: (2024)

Differentially Private Learned Indexes
by: Du, Jianzhang, et al.
Published: (2024)

LEANN: A Low-Storage Vector Index
by: Wang, Yichuan, et al.
Published: (2025)

Learning-based Sketches for Frequency Estimation in Data Streams without Ground Truth
by: Yuan, Xinyu, et al.
Published: (2024)

UpLIF: An Updatable Self-Tuning Learned Index Framework
by: Heidari, Alireza, et al.
Published: (2024)

Tabular Foundation Models Can Learn Association Rules
by: Karabulut, Erkan, et al.
Published: (2026)

The Hybrid Multimodal Graph Index (HMGI): A Comprehensive Framework for Integrated Relational and Vector Search
by: Chandra, Joydeep, et al.
Published: (2025)

CoLSE: A Lightweight and Robust Hybrid Learned Model for Single-Table Cardinality Estimation using Joint CDF
by: Rathuwadu, Lankadinee, et al.
Published: (2025)

Accelerating String-Key Learned Index Structures via Memoization-based Incremental Training
by: Kim, Minsu, et al.
Published: (2024)

Is it Bigger than a Breadbox: Efficient Cardinality Estimation for Real World Workloads
by: Yi, Zixuan, et al.
Published: (2025)

DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees
by: Heidari, Alireza, et al.
Published: (2025)

Can the Rookies Cut the Tough Cookie? Exploring the Use of LLMs for SQL Equivalence Checking
by: Singh, Rajat, et al.
Published: (2024)

GNN-based Anchor Embedding for Efficient Exact Subgraph Matching
by: Yang, Bin, et al.
Published: (2025)

A Lightweight Learned Cardinality Estimation Model
by: Zhu, Yaoyu, et al.
Published: (2025)

Combining Observational Data and Language for Species Range Estimation
by: Hamilton, Max, et al.
Published: (2024)

ACE: A Cardinality Estimator for Set-Valued Queries
by: Sheng, Yufan, et al.
Published: (2025)

SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity
by: Yang, Chuang, et al.
Published: (2024)

PRICE: A Pretrained Model for Cross-Database Cardinality Estimation
by: Zeng, Tianjing, et al.
Published: (2024)

Optimize Cardinality Estimation Model Pretraining by Simplifying the Training Datasets
by: Fang, Boyang
Published: (2025)

A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
by: Miao, Hao, et al.
Published: (2024)

Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
by: Yang, Xinyu, et al.
Published: (2024)

Mining Negative Sequential Patterns to Improve Viral Genomic Feature Representation and Classification
by: Zhu, Wenxi, et al.
Published: (2026)

InferF: Declarative Factorization of AI/ML Inferences over Joins
by: Chowdhury, Kanchan, et al.
Published: (2025)

Incremental IVF Index Maintenance for Streaming Vector Search
by: Mohoney, Jason, et al.
Published: (2024)

P-MOSS: Scheduling Main-Memory Indexes Over NUMA Servers Using Next Token Prediction
by: Rayhan, Yeasir, et al.
Published: (2024)

Improving DBMS Scheduling Decisions with Fine-grained Performance Prediction on Concurrent Queries -- Extended
by: Wu, Ziniu, et al.
Published: (2025)

Personalized Product Assortment with Real-time 3D Perception and Bayesian Payoff Estimation
by: Jenkins, Porter, et al.
Published: (2024)

A Super Fast K-means for Indexing Vector Embeddings
by: Kuffo, Leonardo, et al.
Published: (2026)

Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study
by: Merkel, Nikolai, et al.
Published: (2024)

Sampling-Based Estimation of Jaccard Containment and Similarity
by: Joshi, Pranav
Published: (2025)

LearnedKV: Integrating LSM and Learned Index for Superior Performance on Storage
by: Wang, Wenlong, et al.
Published: (2024)

TabularMark: Watermarking Tabular Datasets for Machine Learning
by: Zheng, Yihao, et al.
Published: (2024)

A Practical Theory of Generalization in Selectivity Learning
by: Wu, Peizhi, et al.
Published: (2024)