Feb 23, 2023 · Abstract:Bernstein's condition is a key assumption that guarantees fast rates in machine learning. For example, the Gibbs algorithm with ...
The main result is that Bernstein's condition always holds at the meta level, regardless of its validity at the observation level, which implies that the ...
Our main result is that Bernstein's condition always holds at the meta level, regardless of its validity at the observation level. This implies that the ...
Feb 23, 2023 · We provided an analysis of the excess risk in meta-learning the prior via PAC-Bayes bounds · At the meta-level, conditions for fast rates are ...
Chérief-Abdellatif , Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes, 2023. Preprint arXiv:2302.11709. G ...
Feb 23, 2023 · Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in. Meta-Learning with PAC-Bayes. Charles Riou. [email protected].
Nov 13, 2023 · We propose to use PAC-Bayes in the meta-learning process and Bayesian inference at the within-task level, and prove that very fast convergence ...
2023. Bayes meets bernstein at the meta level: an analysis of fast rates in meta-learning with pac-bayes. C Riou, P Alquier, BE Chérief-Abdellatif. arXiv ...
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes, Riou Charles, Alquier Pierre, Chérief-Abdellatif Badr ...
People also ask
What is meta learning in reinforcement learning?
Which ensemble method uses a meta learning algorithm to learn how to best combine the predictions from two or more base machine learning algorithms?
What is meta learning in deep learning?
4 days ago · Bayes meets Bernstein at the meta level: an analysis of fast rates in meta-learning with PAC-Bayes. arXiv preprint arXiv:2302.11709, 2023 ...