ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.09484
  4. Cited By
Information-Theoretic Bounds on Transfer Generalization Gap Based on
  Jensen-Shannon Divergence

Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence

13 October 2020
Sharu Theresa Jose
Osvaldo Simeone
ArXivPDFHTML

Papers citing "Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence"

4 / 4 papers shown
Title
Quantifying Distribution Shifts and Uncertainties for Enhanced Model
  Robustness in Machine Learning Applications
Quantifying Distribution Shifts and Uncertainties for Enhanced Model Robustness in Machine Learning Applications
Vegard Flovik
OOD
21
1
0
03 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
39
1
0
08 Nov 2023
Transfer Meta-Learning: Information-Theoretic Bounds and Information
  Meta-Risk Minimization
Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization
Sharu Theresa Jose
Osvaldo Simeone
G. Durisi
11
17
0
04 Nov 2020
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
786
0
19 Feb 2009
1