Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective

2 May 2023

Papers citing "Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective"

4 / 4 papers shown

Title
Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance Mackenzie J. Meni Ryan T. White Michael L. Mayo K. Pilkiewicz BDL 22 3 0 28 Aug 2023
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications Ziqiao Wang Yongyi Mao FedML MLT 32 22 0 07 Oct 2021
Information-theoretic generalization bounds for black-box learning algorithms Hrayr Harutyunyan Maxim Raginsky Greg Ver Steeg Aram Galstyan 32 41 0 04 Oct 2021
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Jeffrey Negrea Mahdi Haghifam Gintare Karolina Dziugaite Ashish Khisti Daniel M. Roy FedML 110 146 0 06 Nov 2019