Information-theoretic generalization bounds for black-box learning algorithms

4 October 2021

Papers citing "Information-theoretic generalization bounds for black-box learning algorithms"

7 / 7 papers shown

Title
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Milad Sefidgaran Abdellatif Zaidi Piotr Krasnowski 44 0 0 25 Apr 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors Milad Sefidgaran A. Zaidi Piotr Krasnowski 63 1 0 21 Feb 2025
Information-Theoretic Generalization Bounds for Deep Neural Networks Haiyun He Christina Lee Yu 27 4 0 04 Apr 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 39 1 0 08 Nov 2023
Tighter Information-Theoretic Generalization Bounds from Supersamples Ziqiao Wang Yongyi Mao 16 17 0 05 Feb 2023
Understanding Generalization via Leave-One-Out Conditional Mutual Information Mahdi Haghifam Shay Moran Daniel M. Roy Gintare Karolina Dziugaite 15 14 0 29 Jun 2022
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