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A Practical Theory of Generalization in Selectivity Learning

A Practical Theory of Generalization in Selectivity Learning

11 September 2024
Peizhi Wu
Haoshu Xu
Ryan Marcus
Z. Ives
    OODD
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Papers citing "A Practical Theory of Generalization in Selectivity Learning"

7 / 7 papers shown
Title
Duet: efficient and scalable hybriD neUral rElation undersTanding
Duet: efficient and scalable hybriD neUral rElation undersTanding
Kaixin Zhang
Hongzhi Wang
Y. Lu
Ziqi Li
Chang Shu
Yu Yan
Donghua Yang
47
2
0
25 Jul 2023
FactorJoin: A New Cardinality Estimation Framework for Join Queries
FactorJoin: A New Cardinality Estimation Framework for Join Queries
Ziniu Wu
Parimarjan Negi
Mohammad Alizadeh
Tim Kraska
Sam Madden
42
37
0
11 Dec 2022
Learning from Label Proportions by Learning with Label Noise
Learning from Label Proportions by Learning with Label Noise
Jianxin Zhang
Yutong Wang
Clayton Scott
NoLa
37
25
0
04 Mar 2022
A Unified Deep Model of Learning from both Data and Queries for
  Cardinality Estimation
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
Peizhi Wu
Gao Cong
OOD
47
66
0
26 Jul 2021
Certified Monotonic Neural Networks
Certified Monotonic Neural Networks
Xingchao Liu
Xing Han
Na Zhang
Qiang Liu
57
80
0
20 Nov 2020
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
681
38,735
0
09 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.0K
193,426
0
10 Dec 2015
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