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Generalization Bounds for Noisy Iterative Algorithms Using Properties of
  Additive Noise Channels

Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels

5 February 2021
Hao Wang
Rui Gao
Flavio du Pin Calmon
ArXivPDFHTML

Papers citing "Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels"

5 / 5 papers shown
Title
Information-Theoretic Generalization Bounds for Deep Neural Networks
Information-Theoretic Generalization Bounds for Deep Neural Networks
Haiyun He
Christina Lee Yu
35
4
0
04 Apr 2024
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of
  SGD via Training Trajectories and via Terminal States
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
Ziqiao Wang
Yongyi Mao
27
10
0
19 Nov 2022
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Ziqiao Wang
Yongyi Mao
38
11
0
03 Oct 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
113
147
0
06 Nov 2019
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