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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"

12 / 12 papers shown
Title
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral
  Methods and Graph Convolutional Networks
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks
Hai-Xiao Wang
Zhichao Wang
76
1
0
18 Dec 2024
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
48
0
0
15 Oct 2024
Error Bounds of Supervised Classification from Information-Theoretic
  Perspective
Error Bounds of Supervised Classification from Information-Theoretic Perspective
Binchuan Qi
Wei Gong
Li Li
28
0
0
07 Jun 2024
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence
  and Capability
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability
Chenyu Zheng
Wei Huang
Rongzheng Wang
Guoqiang Wu
Jun Zhu
Chongxuan Li
39
1
0
27 May 2024
Robust Semi-supervised Learning via $f$-Divergence and $α$-Rényi
  Divergence
Robust Semi-supervised Learning via fff-Divergence and ααα-Rényi Divergence
Gholamali Aminian
Amirhossien Bagheri
Mahyar JafariNodeh
Radmehr Karimian
Mohammad Hossein Yassaee
32
0
0
01 May 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
57
1
0
08 Nov 2023
Toward Understanding Generative Data Augmentation
Toward Understanding Generative Data Augmentation
Chenyu Zheng
Guoqiang Wu
Chongxuan Li
29
25
0
27 May 2023
Tighter Information-Theoretic Generalization Bounds from Supersamples
Tighter Information-Theoretic Generalization Bounds from Supersamples
Ziqiao Wang
Yongyi Mao
29
17
0
05 Feb 2023
How Does Pseudo-Labeling Affect the Generalization Error of the
  Semi-Supervised Gibbs Algorithm?
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
Haiyun He
Gholamali Aminian
Yuheng Bu
Miguel R. D. Rodrigues
Vincent Y. F. Tan
32
4
0
15 Oct 2022
Semi-supervised Vision Transformers at Scale
Semi-supervised Vision Transformers at Scale
Zhaowei Cai
Avinash Ravichandran
Paolo Favaro
Manchen Wang
Davide Modolo
Rahul Bhotika
Z. Tu
Stefano Soatto
ViT
24
55
0
11 Aug 2022
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
46
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
110
147
0
06 Nov 2019
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