A General framework for PAC-Bayes Bounds for Meta-Learning

11 June 2022

Papers citing "A General framework for PAC-Bayes Bounds for Meta-Learning"

8 / 8 papers shown

Title
Position: Understanding LLMs Requires More Than Statistical Generalization Patrik Reizinger Szilvia Ujváry Anna Mészáros A. Kerekes Wieland Brendel Ferenc Huszár 36 12 0 03 May 2024
Metalearning with Very Few Samples Per Task Maryam Aliakbarpour Konstantina Bairaktari Gavin Brown Adam D. Smith Nathan Srebro Jonathan Ullman VLM 24 2 0 21 Dec 2023
On the Generalization Error of Meta Learning for the Gibbs Algorithm Yuheng Bu Harsha Vardhan Tetali Gholamali Aminian Miguel R. D. Rodrigues G. Wornell AI4CE 22 3 0 27 Apr 2023
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 37 196 0 21 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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 284 11,681 0 09 Mar 2017
PAC-Bayesian Bounds for Randomized Empirical Risk Minimizers Pierre Alquier 156 58 0 11 Dec 2007
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 139 453 0 03 Dec 2007