Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms

4 March 2022

Papers citing "Rate-Distortion Theoretic Generalization Bounds for Stochastic 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 91 1 0 21 Feb 2025
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 57 1 0 08 Nov 2023
Elastic Information Bottleneck Yuyan Ni Yanyan Lan Ao Liu Zhiming Ma 22 2 0 07 Nov 2023
Generalization Guarantees via Algorithm-dependent Rademacher Complexity Sarah Sachs T. Erven Liam Hodgkinson Rajiv Khanna Umut Simsekli 23 3 0 04 Jul 2023
Information-theoretic generalization bounds for black-box learning algorithms Hrayr Harutyunyan Maxim Raginsky Greg Ver Steeg Aram Galstyan 37 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 110 147 0 06 Nov 2019