Information-Theoretic Generalization Bounds for Transductive Learning and its Applications

8 November 2023

Papers citing "Information-Theoretic Generalization Bounds for Transductive Learning and its Applications"

11 / 11 papers shown

Title
Understanding the Capabilities and Limitations of Weak-to-Strong Generalization Wei Yao Wenkai Yang Z. Wang Yankai Lin Yong Liu ELM 88 1 0 03 Feb 2025
Information-Theoretic Analysis of Unsupervised Domain Adaptation Ziqiao Wang Yongyi Mao 38 11 0 03 Oct 2022
On Leave-One-Out Conditional Mutual Information For Generalization Mohamad Rida Rammal Alessandro Achille Aditya Golatkar Suhas Diggavi Stefano Soatto VLM 17 5 0 01 Jul 2022
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications Ziqiao Wang Yongyi Mao FedML MLT 29 22 0 07 Oct 2021
Information-theoretic generalization bounds for black-box learning algorithms Hrayr Harutyunyan Maxim Raginsky Greg Ver Steeg Aram Galstyan 26 41 0 04 Oct 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis Qi Chen Changjian Shui M. Marchand 32 43 0 29 Sep 2021
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms Gholamali Aminian Laura Toni M. Rodrigues 54 15 0 03 Feb 2021
Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence Sharu Theresa Jose Osvaldo Simeone 32 15 0 13 Oct 2020
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
Contextual Stochastic Block Models Y. Deshpande Andrea Montanari Elchanan Mossel S. Sen 98 131 0 23 Jul 2018
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 133 451 0 03 Dec 2007