Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets

Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets

26 April 2024

Benjamin Dupuis

George Deligiannidis

Papers citing "Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets"

7 / 7 papers shown

Title
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know Shireen Kudukkil Manchingal Fabio Cuzzolin 42 0 0 08 May 2025
Understanding the Generalization Error of Markov algorithms through Poissonization Benjamin Dupuis Maxime Haddouche George Deligiannidis Umut Simsekli 37 0 0 11 Feb 2025
Time-Independent Information-Theoretic Generalization Bounds for SGLD Futoshi Futami Masahiro Fujisawa 22 5 0 02 Nov 2023
A General Framework for the Practical Disintegration of PAC-Bayesian Bounds Paul Viallard Pascal Germain Amaury Habrard Emilie Morvant UQCV 26 11 0 17 Feb 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
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 111 577 0 27 Feb 2015
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 133 451 0 03 Dec 2007