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Information-Theoretic Characterization of the Generalization Error for
  Iterative Semi-Supervised Learning

Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning

3 October 2021
Haiyun He
Hanshu Yan
Vincent Y. F. Tan
ArXivPDFHTML

Papers citing "Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning"

5 / 5 papers shown
Title
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Jingyang Li
Jiachun Pan
Vincent Y. F. Tan
Kim-Chuan Toh
Pan Zhou
AAML
MLT
33
0
0
15 Oct 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Huayi Tang
Yong Liu
53
1
0
08 Nov 2023
Tighter Information-Theoretic Generalization Bounds from Supersamples
Tighter Information-Theoretic Generalization Bounds from Supersamples
Ziqiao Wang
Yongyi Mao
19
17
0
05 Feb 2023
Information-Theoretic Bounds on Transfer Generalization Gap Based on
  Jensen-Shannon Divergence
Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence
Sharu Theresa Jose
Osvaldo Simeone
38
16
0
13 Oct 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent
  Estimates
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea
Mahdi Haghifam
Gintare Karolina Dziugaite
Ashish Khisti
Daniel M. Roy
FedML
105
146
0
06 Nov 2019
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