Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness

12 October 2022

Papers citing "Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness"

10 / 10 papers shown

Title
Generalization in Federated Learning: A Conditional Mutual Information Framework Ziqiao Wang Cheng Long Yongyi Mao FedML 145 1 0 06 Mar 2025
How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis Yuxin Dong Tieliang Gong Hong Chen Shuangyong Song Weizhan Zhang Chen Li OOD 110 2 0 14 Jun 2024
Error Bounds of Supervised Classification from Information-Theoretic Perspective Binchuan Qi Wei Gong Li Li 100 0 0 07 Jun 2024
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization Idan Attias Gintare Karolina Dziugaite Mahdi Haghifam Roi Livni Daniel M. Roy 141 9 0 14 Feb 2024
More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms Hossein Zakerinia Amin Behjati Christoph H. Lampert FedML 107 7 0 06 Feb 2024
Exactly Tight Information-Theoretic Generalization Error Bound for the Quadratic Gaussian Problem Ruida Zhou C. Tian Tie Liu 111 3 0 01 May 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 110 3 0 27 Apr 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou Pierre Alquier Badr-Eddine Chérief-Abdellatif 145 10 0 23 Feb 2023
Tighter Information-Theoretic Generalization Bounds from Supersamples Ziqiao Wang Yongyi Mao 143 21 0 05 Feb 2023
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks Jun Shu Deyu Meng Zongben Xu 113 8 0 06 Jul 2021