Tighter Information-Theoretic Generalization Bounds from Supersamples

5 February 2023

Papers citing "Tighter Information-Theoretic Generalization Bounds from Supersamples"

19 / 19 papers shown

Title
Generalization in Federated Learning: A Conditional Mutual Information Framework Ziqiao Wang Cheng Long Yongyi Mao FedML 47 0 0 06 Mar 2025
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
Generalization Bounds via Conditional $f$ -Information Ziqiao Wang Yongyi Mao FedML 32 1 0 30 Oct 2024
Which Algorithms Have Tight Generalization Bounds? Michael C. Gastpar Ido Nachum Jonathan Shafer T. Weinberger 18 0 0 02 Oct 2024
How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis Yuxin Dong Tieliang Gong Hong Chen Shuangyong Song Weizhan Zhang Chen Li OOD 24 0 0 14 Jun 2024
Slicing Mutual Information Generalization Bounds for Neural Networks Kimia Nadjahi Kristjan Greenewald Rickard Brüel-Gabrielsson Justin Solomon 33 1 0 06 Jun 2024
Information-theoretic Generalization Analysis for Expected Calibration Error Futoshi Futami Masahiro Fujisawa UQCV CML 20 1 0 24 May 2024
Class-wise Generalization Error: an Information-Theoretic Analysis Firas Laakom Yuheng Bu M. Gabbouj 17 0 0 05 Jan 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 36 1 0 08 Nov 2023
Time-Independent Information-Theoretic Generalization Bounds for SGLD Futoshi Futami Masahiro Fujisawa 20 5 0 02 Nov 2023
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds Ziqiao Wang Yongyi Mao 14 5 0 31 Oct 2023
Comparing Comparators in Generalization Bounds Fredrik Hellström Benjamin Guedj 15 4 0 16 Oct 2023
Fantastic Generalization Measures are Nowhere to be Found Michael C. Gastpar Ido Nachum Jonathan Shafer T. Weinberger 8 13 0 24 Sep 2023
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
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
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 133 451 0 03 Dec 2007