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Theoretical Analysis of Learned Database Operations under Distribution
  Shift through Distribution Learnability

Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability

9 November 2024
Sepanta Zeighami
Cyrus Shahahbi
ArXiv (abs)PDFHTML

Papers citing "Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability"

5 / 5 papers shown
Title
In-Context Adaptation to Concept Drift for Learned Database Operations
In-Context Adaptation to Concept Drift for Learned Database Operations
Jiaqi Zhu
Shaofeng Cai
Yanyan Shen
Gang Chen
Fang Deng
Beng Chin Ooi
VLM
176
0
0
07 May 2025
The Intrinsic Dimension of Images and Its Impact on Learning
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip E. Pope
Chen Zhu
Ahmed Abdelkader
Micah Goldblum
Tom Goldstein
231
273
0
18 Apr 2021
Deep Unsupervised Cardinality Estimation
Deep Unsupervised Cardinality Estimation
Zongheng Yang
Eric Liang
Amog Kamsetty
Chenggang Wu
Yan Duan
Peter Chen
Pieter Abbeel
J. M. Hellerstein
S. Krishnan
Ion Stoica
66
204
0
10 May 2019
Optimal approximation of continuous functions by very deep ReLU networks
Optimal approximation of continuous functions by very deep ReLU networks
Dmitry Yarotsky
194
294
0
10 Feb 2018
The Case for Learned Index Structures
The Case for Learned Index Structures
Tim Kraska
Alex Beutel
Ed H. Chi
J. Dean
N. Polyzotis
85
1,042
0
04 Dec 2017
1